US9547937B2 - Three-dimensional annotation system and method - Google Patents

Three-dimensional annotation system and method Download PDF

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US9547937B2
US9547937B2 US13/691,509 US201213691509A US9547937B2 US 9547937 B2 US9547937 B2 US 9547937B2 US 201213691509 A US201213691509 A US 201213691509A US 9547937 B2 US9547937 B2 US 9547937B2
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depth
image
annotation
source image
dimensional
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US20140152648A1 (en
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Jared Sandrew
Jill Hunt
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Legend3D Inc
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00Manipulating 3D models or images for computer graphics
    • H04N13/026
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/20Image signal generators
    • H04N13/261Image signal generators with monoscopic-to-stereoscopic image conversion
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2219/00Indexing scheme for manipulating 3D models or images for computer graphics
    • G06T2219/004Annotating, labelling
    • H04N13/0022
    • H04N13/004
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/10Processing, recording or transmission of stereoscopic or multi-view image signals
    • H04N13/106Processing image signals
    • H04N13/128Adjusting depth or disparity
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/10Processing, recording or transmission of stereoscopic or multi-view image signals
    • H04N13/106Processing image signals
    • H04N13/156Mixing image signals

Definitions

  • One or more embodiments of the invention are related to the field of image analysis and image enhancement and computer graphics processing of two-dimensional images into three-dimensional images. More particularly, but not by way of limitation, one or more embodiments of the invention enable a three-dimensional annotation system and method.
  • Embodiments accept a desired depth for a region in a two-dimensional image, or three-dimensional image, and annotate the image with three-dimensional annotations at the desired depth for example. This enables rapid and intuitive depth alteration in three-dimensional images and conversion of two-dimensional images to three-dimensional images by enabling stereographers to specify depths for regions of images in an intuitive manner.
  • Embodiments may display an annotated image with a corresponding stereoscopic image or pair of images for left and right eye viewing, or any other three-dimensional viewing enabled image, such as an anaglyph image.
  • Three-dimensional images include any type of image or images that provide different left and right eye views to encode depth, some types of three-dimensional images require use of special glasses to ensure the left eye viewpoint is shown to the left eye and the right eye viewpoint is shown to the right eye of an observer.
  • Existing systems that are utilized to convert two-dimensional images to three-dimensional images typically require rotoscoping of images to create outlines of regions in the images. The rotoscoped regions are then individually depth adjusted by hand to produce a left and right eye image, or single anaglyph image, or other three-dimensionally viewable image, such as a polarized three-dimensional image viewed with left and right lenses having different polarization angles for example.
  • ad hoc depths are applied to images, and if the images are not acceptable, for example after client review, then there is no easy manner in which to provide easy feedback. Without a visual language to give creative and technical notes for the placement of objects, feedback can be unclear, causing more creative and technical iteration.
  • the iterative workflow includes rotoscoping or modeling objects in each frame, adding depth and then rendering the frame into left and right viewpoints forming an anaglyph image or a left and right image pair.
  • the typical workflow involves an “iteration”, i.e., sending the frames back to the workgroup responsible for masking the objects, (which can be in a country with cheap unskilled labor half way around the world), after which the masks are sent to the workgroup responsible for rendering the images, (again potentially in another country), wherein rendering is accomplished by either shifting input pixels left and right for cell animation images for example or ray tracing the path of light through each pixel in left and right images to simulate the light effects the path of light interacts with and for example bounces off of or through, which is computationally extremely expensive. After rendering, the rendered image pair is sent back to the quality assurance group.
  • Embodiments of the invention accept inputs from a stereographer that indicate depths at which to place regions or object volumes within a two dimensional image that are utilized to create stereoscopic viewable images, e.g., two horizontally offset left and right eye viewpoints or images.
  • the input is accepted by the system and displayed at the depth indicated on the three-dimensional version of the two-dimensional input image.
  • the depth may be specified using a graphical input device, such as a graphics drawing tablet.
  • depths may be input via a keyboard, obtained through analysis of the input, e.g., script or text to annotate with, or via voice commands while drawing annotation information or symbols for example.
  • a mask group takes source images and creates masks for items, areas or human recognizable objects in each frame of a sequence of images that make up a movie.
  • Stereographers utilize embodiments of the invention to specify depths, for example with annotations that are shown at the desired depth along with any other information, to apply to particular regions, for example the masked regions from the mask group, in each image.
  • the depth augmentation group applies the specified depths, and for example shapes, to the masks created by the mask group.
  • Embodiments of the invention make this process extremely intuitive as the depth to apply is shown with information at the desired depth.
  • the depth may be applied before or independent of the masking process for example.
  • left and right viewpoint images and left and right absolute translation files, or a single relative translation file may be generated and/or utilized by one or more embodiments of the invention.
  • the translation files specify the pixel offsets for each source pixel in the original 2D image, for example in relative or absolute form respectively.
  • These files are generally related to an alpha mask for each layer, for example a layer for an actress, a layer for a door, a layer for a background, etc.
  • These translation files, or maps are passed from the depth augmentation group that renders 3D images, to the quality assurance workgroup or depending on the project size, a stereographer and/or associate stereographer.
  • the Z depth of regions within the image may also be passed along with the alpha mask to the quality assurance group, who may then adjust depth as well without re-rendering with the original rendering software. This may be performed for example with generated missing background data from any layer so as to allow “downstream” real-time editing without re-rendering or ray-tracing for example.
  • Quality assurance may give feedback to the masking group or depth augmentation group for individuals so that these individuals may be instructed to produce work product as desired for the given project, without waiting for, or requiring the upstream groups to rework anything for the current project. This allows for feedback yet eliminates iterative delays involved with sending work product back for rework and the associated delay for waiting for the reworked work product. Elimination of iterations such as this provide a huge savings in wall-time, or end-to-end time that a conversion project takes, thereby increasing profits and minimizing the workforce needed to implement the workflow.
  • embodiments of the invention minimize iterative workflow by providing more intuitive instructions regarding depth for another workgroup to utilize.
  • embodiments of the invention enable eliminate iterative workflow paths back through different workgroups by enabling other workers or workgroups to have an intuitive method in which to view depth instructions and successfully input the correct depth.
  • Great amounts of time are saved by eliminating re-rendering by other work groups, and allow depth to be correctly input local to a work group.
  • Embodiments of the system thus greatly aid the artist in the enhancement of images to include depth by providing realistic depth information once, to minimize manual manipulation of images.
  • FIG. 1 shows an architectural view of an embodiment of the system.
  • FIG. 2 shows an input two-dimensional image
  • FIG. 3 shows a masked version of the two-dimensional image showing regions within each object to apply depth to.
  • FIG. 4 shows annotations for desired depth at a specific depth for general messages, or at the depth of the desired region for example, wherein the annotations may be viewed in three-dimensional depth with anaglyph glasses.
  • FIG. 5 shows the input image converted to three-dimensional image in anaglyph format, which may be viewed in three-dimensional depth with anaglyph glasses to view separate left and right eye viewpoints from one image.
  • FIG. 6 shows a logical side view of the depth applied to the annotations and optionally to the regions that may be masked for example and depth augmented as per the associated annotation.
  • FIG. 7 illustrates a flowchart illustrating an embodiment of the method implemented by one or more embodiments of the system of FIG. 1 .
  • FIG. 1 shows an architectural view of an embodiment of the system 100 .
  • computer 101 is coupled with any combination of input devices including graphics tablet 102 a , keyboard 102 b , mouse 102 c and/or microphone 102 d .
  • Computer 101 may obtain a two-dimensional image and display the image on screen 103 .
  • Screen 103 may display a single image that may be viewed at depth, for example as an anaglyph using two different colors shifted left and right that may be viewed with glasses with lenses of two different colors, e.g., Red and Blue to view the image as a three-dimensional image for example.
  • the two-dimensional image may have multiple regions that are to be converted to different depths, for example first region 151 a , e.g., a fish and second region 151 b , coral for ease of illustration.
  • embodiments of the invention may be utilized to amend or otherwise change or alter depth of three-dimensional input images.
  • Other embodiments may be utilized to annotate convergence for blending a feature film and/or alteration of native stereo elements with positive or negative depth with respect to the screen plane for example.
  • embodiments of the system accept annotation associated with desired depths from input devices 102 a - d , for example first annotation 152 a and second annotation 152 b . Any number of regions or annotations may be accepted by embodiments of the system.
  • the annotation itself may be analyzed to obtain the desired depth associated with a given region, or any input from the same or other input device may be utilized to obtain the desired depth.
  • the annotation is then placed at the depth thus obtained, which results in three-dimensional annotations 152 a and 152 b displayed at the depth thus obtained from the annotation itself, e.g., from numbers in the annotation via optical character recognition or other handwriting recognition software for example.
  • the depth may be the desired depth of an associated object or for example the depths of the four corners of the screen or any other depth associated with the annotation for example.
  • the annotation may include general comments at a particular depth and not associated with a specific region for example.
  • obtaining the depth includes analyzing the annotation with text recognition software to determine the depth. For example, if mouse or graphics tablet 102 c or 102 a is utilized to cursively drawing the annotation, the input may be analyzed by text recognition software to determine if a numerical value exists within the cursive text, for example “10” or “5” as obtained from annotations 152 a and 152 b .
  • keywords or characters such as “+”, “ ⁇ ”, “forward”, “back”, etc., may be obtained via text recognition software and applied to the depth of the annotation automatically for example.
  • the mouse input may be utilized to for example drag up or down to adjust the annotation and add text next to an arrow annotation for example to show that the annotation is “10” or “5”, for example which changes as the mouse is dragged and automatically updated in the annotation, while the annotation itself moves forward or backward.
  • the keyboard may be utilized to accept annotations or depths associated with annotations. The input text from the keyboard may be parsed to obtain keywords, characters or numbers for example to automatically either augment the annotation or move the annotation in depth or both.
  • the microphone may be monitored and depth accepted therefrom to automatically augment the annotation or move the annotation in depth or by asserting voice recognition software to determine keywords, characters or numbers.
  • Embodiments of the system may thus be utilized in obtaining a two-dimensional source image, displaying the two-dimensional source image on the screen associated with the computer, accepting an annotation associated with a desired depth of a region within the two-dimensional source image via any of the input devices coupled with the computer, obtaining a depth associated with the annotation as described above, and annotating the two-dimensional image with the annotation at the depth in a three-dimensional image, i.e., an image that has at least the annotations displayed at depth.
  • Embodiments of the system annotate the two-dimensional image with the annotation at the depth by generating an image encoded with left and right viewpoints or a pair of images comprising an image for viewing with a left and right eye respectively wherein the pair of images includes the annotation and the two-dimensional source image.
  • the resulting image is a single anaglyph image, or polarized image, or any other type of image that includes the annotation shown at depth along with the two-dimensional source image.
  • the computer or any other computer that may access the resulting annotated image may accept at least one mask associated with the region of the two-dimensional source image.
  • masking may take place before or after the annotation of the two-dimensional image.
  • Embodiments of the system may then displace at least a portion of the region, for example a particular side, or middle or any other portion, in the two-dimensional source image left and right based on the depth to create a resulting output three-dimensional image.
  • the system may output a three-dimensional image without the annotation.
  • this may entail large numbers of images and tweening for example between key frames or other images generated with one or more embodiments of the system.
  • FIG. 2 shows an input two-dimensional image.
  • Embodiments of the invention may be utilized on cell animation or photographic or rendered or any other type of images.
  • an exemplary object such as a fish is shown near vertically oriented structures, which may represent coral or other structures.
  • FIG. 3 shows a masked version of the two-dimensional image showing regions within each object to apply depth to.
  • the regions are utilized to apply depths that vary over the region to create regions that are not flat, i.e., not at the same depth across the entire region.
  • region 151 a includes many sub-regions or masks, shown as different colors along the sides and back of the fish, which are not shown in the unmasked version of FIG. 2 .
  • the two-dimensional image is still in two-dimensions, i.e., the depth across the entire image does not vary.
  • the two-dimensional image along with the three-dimensional annotations specify the depths to apply to particular areas or regions and is used as an input to the depth augmentation group for example.
  • the depth group then moves the associated regions in depth to match the annotations in an intuitive manner that is extremely fast and provides a built-in sanity check for depth. Using this method, it is inherently verifiable whether a depth of a region is at or about at the depth of the associated annotation.
  • FIG. 5 shows the input image converted to three-dimensional image in anaglyph format, which may be viewed in three-dimensional depth with anaglyph glasses.
  • the individual coral pieces are at the specified depths, for example, nearest ones at “ ⁇ 10” at region 151 b having associated annotation 152 b , with the furthest ones at “4”, “5”, and “7”, while the region of the nose of the fish 151 a is at “0” and the fins are at offset “ ⁇ 2” as shown associated with annotation 152 a .
  • these numbers may indicate the left and right shift in pixels or the depth in feet/meters of the particular regions, or any other quantitative value associated with distance or depth.
  • the polarity may be such that positive numbers represent depths further away from the viewer.
  • embodiments of the invention minimize iterative workflow by providing more intuitive instructions regarding depth for another workgroup to utilize.
  • the system and method implemented by the system eliminate iterative workflow paths back through different workgroups by enabling other workers or workgroups to have an intuitive method in which to view depth instructions and successfully input the correct depth.
  • Great amounts of time are saved by eliminating re-rendering by other work groups, and allow depth to be correctly input local to a work group.
  • Embodiments of the system thus greatly aid the artist in the enhancement of images to include depth by providing realistic depth information once, to minimize manual manipulation of images.
  • a particular annotation may itself have a differing depth along the annotation to show how a depth varies, i.e., is not constant or flat across a region.
  • an annotation may show a curve from a first depth to a second depth along the annotation so that the annotation has a depth range.
  • more than one number for depth may be associated with a particular annotation and analyzed by the system to shift a portion of the annotation nearer or further than another portion of the same annotation. There is no limit to the number of depths that a particular annotation may be placed at. As shown in FIG.
  • the bottom right annotation shows a depth of ⁇ 14 and ⁇ 4 with a “far” depth of ⁇ 20, which is analyzed by an embodiment of the invention to designate that region of the image as having a depth that ranges between the three annotated depths, wherein an embodiment of the invention may thus set the depth of the masked region to as shown by shifting closer annotated portions farther left and right that deeper areas respectively.
  • FIG. 6 shows a logical side view of the depth applied to the annotations and optionally to the regions that may be masked for example and depth augmented as per the associated annotation.
  • FIG. 6 illustrates the depth applied to FIGS. 1 and 2 from a side view of screen 103 to show the depth applied to the annotations 152 a and 152 b (see also FIG. 4 with anaglyph glasses on), and optionally to the associated regions 151 a and 151 b , once the associated depth notated in the annotations is applied to the regions (see also FIG. 5 with anaglyph glasses on).
  • the annotations are at depth for three-dimensional or stereoscopic viewing 602 to aid in the application of depth to the associated regions for example wherein a viewer 601 is shown at the right side of screen 103 .
  • FIG. 7 illustrates a flowchart illustrating an embodiment of the method implemented by one or more embodiments of the system of FIG. 1 .
  • the method includes obtaining the source image at 701 , displaying the source image on the screen of the computer shown in FIG. 1 , as per 702 , accepting annotation associated with the desired depth of the region at 703 , obtaining a depth associated with the annotation at 704 in a number of ways previously described with respect to the system, annotating the source image with the annotation in three-dimensions, for stereoscopic viewing at 705 .
  • the annotations are utilized to show where depth should be applied and the system may accept masks for regions in the source image at 706 and then optionally display the regions as well at 707 , and which is shown in FIG. 6 .
  • the annotations may not be at the same depth as the associated regions or may not even have associated regions, i.e., may simply be annotations at depth to aid in understanding something associated with the source image, the annotations at depth greatly speed and aid the process of working on images that may include depth.

Abstract

Embodiments enable a three-dimensional annotation system and method that accepts desired depths for regions of input images and annotates two-dimensional/three-dimensional images with three-dimensional annotations for viewing at the desired depth(s) in any three-dimensional manner. Enables rapid and intuitive specification of desired depth and application of depth to regions in the two-dimensional images, or when editing three-dimensional images, as annotated by the three-dimensional annotations having at least one depth associated with the annotation. Enables rapid and intuitive depth augmentation or editing of an input image.

Description

BACKGROUND OF THE INVENTION
Field of the Invention
One or more embodiments of the invention are related to the field of image analysis and image enhancement and computer graphics processing of two-dimensional images into three-dimensional images. More particularly, but not by way of limitation, one or more embodiments of the invention enable a three-dimensional annotation system and method. Embodiments accept a desired depth for a region in a two-dimensional image, or three-dimensional image, and annotate the image with three-dimensional annotations at the desired depth for example. This enables rapid and intuitive depth alteration in three-dimensional images and conversion of two-dimensional images to three-dimensional images by enabling stereographers to specify depths for regions of images in an intuitive manner. Embodiments may display an annotated image with a corresponding stereoscopic image or pair of images for left and right eye viewing, or any other three-dimensional viewing enabled image, such as an anaglyph image.
Description of the Related Art
Three-dimensional images include any type of image or images that provide different left and right eye views to encode depth, some types of three-dimensional images require use of special glasses to ensure the left eye viewpoint is shown to the left eye and the right eye viewpoint is shown to the right eye of an observer. Existing systems that are utilized to convert two-dimensional images to three-dimensional images typically require rotoscoping of images to create outlines of regions in the images. The rotoscoped regions are then individually depth adjusted by hand to produce a left and right eye image, or single anaglyph image, or other three-dimensionally viewable image, such as a polarized three-dimensional image viewed with left and right lenses having different polarization angles for example. There is no easy way for stereographers to specify specific depths to apply to regions in a natural way. Thus, ad hoc depths are applied to images, and if the images are not acceptable, for example after client review, then there is no easy manner in which to provide easy feedback. Without a visual language to give creative and technical notes for the placement of objects, feedback can be unclear, causing more creative and technical iteration.
In addition, typical methods for converting movies from 2D to 3D in an industrial setting capable of handling the conversion of hundreds of thousands of frames of a movie with large amounts of labor or computing power, make use of an iterative workflow. The iterative workflow includes rotoscoping or modeling objects in each frame, adding depth and then rendering the frame into left and right viewpoints forming an anaglyph image or a left and right image pair. If there are errors in the edges of the masked objects for example, then the typical workflow involves an “iteration”, i.e., sending the frames back to the workgroup responsible for masking the objects, (which can be in a country with cheap unskilled labor half way around the world), after which the masks are sent to the workgroup responsible for rendering the images, (again potentially in another country), wherein rendering is accomplished by either shifting input pixels left and right for cell animation images for example or ray tracing the path of light through each pixel in left and right images to simulate the light effects the path of light interacts with and for example bounces off of or through, which is computationally extremely expensive. After rendering, the rendered image pair is sent back to the quality assurance group. It is not uncommon in this workflow environment for many iterations of a complicated frame to take place. This is known as “throw it over the fence” workflow since different workgroups work independently to minimize their current workload and not as a team with overall efficiency in mind. With hundreds of thousands of frames in a movie, the amount of time that it takes to iterate back through frames containing artifacts can become high, causing delays in the overall project. Even if the re-rendering process takes place locally, the amount of time to re-render or ray-trace all of the images of a scene can cause significant processing and hence delays on the order of at least hours. Each iteration may take a long period of time to complete as the work may be performed by groups in disparate locations having shifted work hours. Elimination of iterations such as this would provide a huge savings in wall-time, or end-to-end time that a conversion project takes, thereby increasing profits and minimizing the workforce needed to implement the workflow.
Hence there is a need for a three-dimensional annotation system and method.
BRIEF SUMMARY OF THE INVENTION
Embodiments of the invention accept inputs from a stereographer that indicate depths at which to place regions or object volumes within a two dimensional image that are utilized to create stereoscopic viewable images, e.g., two horizontally offset left and right eye viewpoints or images. In one or more embodiments of the invention, the input is accepted by the system and displayed at the depth indicated on the three-dimensional version of the two-dimensional input image. In one or more embodiments, the depth may be specified using a graphical input device, such as a graphics drawing tablet. In other embodiments or in combination, depths may be input via a keyboard, obtained through analysis of the input, e.g., script or text to annotate with, or via voice commands while drawing annotation information or symbols for example.
In one scenario of the conversion workflow, a mask group takes source images and creates masks for items, areas or human recognizable objects in each frame of a sequence of images that make up a movie. Stereographers utilize embodiments of the invention to specify depths, for example with annotations that are shown at the desired depth along with any other information, to apply to particular regions, for example the masked regions from the mask group, in each image. The depth augmentation group applies the specified depths, and for example shapes, to the masks created by the mask group. Embodiments of the invention make this process extremely intuitive as the depth to apply is shown with information at the desired depth. Optionally, the depth may be applied before or independent of the masking process for example.
When rendering an image pair, left and right viewpoint images and left and right absolute translation files, or a single relative translation file may be generated and/or utilized by one or more embodiments of the invention. The translation files specify the pixel offsets for each source pixel in the original 2D image, for example in relative or absolute form respectively. These files are generally related to an alpha mask for each layer, for example a layer for an actress, a layer for a door, a layer for a background, etc. These translation files, or maps are passed from the depth augmentation group that renders 3D images, to the quality assurance workgroup or depending on the project size, a stereographer and/or associate stereographer. This allows the quality assurance workgroup (or other workgroup such as the depth augmentation group) to perform real-time editing of 3D images without re-rendering for example to alter layers/colors/masks and/or remove artifacts such as masking errors without delays associated with processing time/re-rendering and/or iterative workflow that requires such re-rendering or sending the masks back to the mask group for rework, wherein the mask group may be in a third world country with unskilled labor on the other side of the globe. In addition, when rendering the left and right images, i.e., 3D images, the Z depth of regions within the image, such as actors for example, may also be passed along with the alpha mask to the quality assurance group, who may then adjust depth as well without re-rendering with the original rendering software. This may be performed for example with generated missing background data from any layer so as to allow “downstream” real-time editing without re-rendering or ray-tracing for example.
Quality assurance may give feedback to the masking group or depth augmentation group for individuals so that these individuals may be instructed to produce work product as desired for the given project, without waiting for, or requiring the upstream groups to rework anything for the current project. This allows for feedback yet eliminates iterative delays involved with sending work product back for rework and the associated delay for waiting for the reworked work product. Elimination of iterations such as this provide a huge savings in wall-time, or end-to-end time that a conversion project takes, thereby increasing profits and minimizing the workforce needed to implement the workflow.
In summary, embodiments of the invention minimize iterative workflow by providing more intuitive instructions regarding depth for another workgroup to utilize. For example, embodiments of the invention enable eliminate iterative workflow paths back through different workgroups by enabling other workers or workgroups to have an intuitive method in which to view depth instructions and successfully input the correct depth. Great amounts of time are saved by eliminating re-rendering by other work groups, and allow depth to be correctly input local to a work group. Embodiments of the system thus greatly aid the artist in the enhancement of images to include depth by providing realistic depth information once, to minimize manual manipulation of images.
BRIEF DESCRIPTION OF THE DRAWINGS
The patent or application file contains at least one drawing executed in color. Copies of this patent or patent application publication with color drawing(s) will be provided by the Office upon request and payment of the necessary fee.
FIG. 1 shows an architectural view of an embodiment of the system.
FIG. 2 shows an input two-dimensional image.
FIG. 3 shows a masked version of the two-dimensional image showing regions within each object to apply depth to.
FIG. 4 shows annotations for desired depth at a specific depth for general messages, or at the depth of the desired region for example, wherein the annotations may be viewed in three-dimensional depth with anaglyph glasses.
FIG. 5 shows the input image converted to three-dimensional image in anaglyph format, which may be viewed in three-dimensional depth with anaglyph glasses to view separate left and right eye viewpoints from one image.
FIG. 6 shows a logical side view of the depth applied to the annotations and optionally to the regions that may be masked for example and depth augmented as per the associated annotation.
FIG. 7 illustrates a flowchart illustrating an embodiment of the method implemented by one or more embodiments of the system of FIG. 1.
DETAILED DESCRIPTION OF THE INVENTION
FIG. 1 shows an architectural view of an embodiment of the system 100. As illustrated, computer 101 is coupled with any combination of input devices including graphics tablet 102 a, keyboard 102 b, mouse 102 c and/or microphone 102 d. Computer 101 may obtain a two-dimensional image and display the image on screen 103. Screen 103 may display a single image that may be viewed at depth, for example as an anaglyph using two different colors shifted left and right that may be viewed with glasses with lenses of two different colors, e.g., Red and Blue to view the image as a three-dimensional image for example. In general, the two-dimensional image may have multiple regions that are to be converted to different depths, for example first region 151 a, e.g., a fish and second region 151 b, coral for ease of illustration. In other scenarios, embodiments of the invention may be utilized to amend or otherwise change or alter depth of three-dimensional input images. Other embodiments may be utilized to annotate convergence for blending a feature film and/or alteration of native stereo elements with positive or negative depth with respect to the screen plane for example. Regardless of the input image type, embodiments of the system accept annotation associated with desired depths from input devices 102 a-d, for example first annotation 152 a and second annotation 152 b. Any number of regions or annotations may be accepted by embodiments of the system. In one or more embodiments of the invention, the annotation itself may be analyzed to obtain the desired depth associated with a given region, or any input from the same or other input device may be utilized to obtain the desired depth. The annotation is then placed at the depth thus obtained, which results in three- dimensional annotations 152 a and 152 b displayed at the depth thus obtained from the annotation itself, e.g., from numbers in the annotation via optical character recognition or other handwriting recognition software for example. The depth may be the desired depth of an associated object or for example the depths of the four corners of the screen or any other depth associated with the annotation for example. The annotation may include general comments at a particular depth and not associated with a specific region for example.
In one or more embodiments of the invention, obtaining the depth includes analyzing the annotation with text recognition software to determine the depth. For example, if mouse or graphics tablet 102 c or 102 a is utilized to cursively drawing the annotation, the input may be analyzed by text recognition software to determine if a numerical value exists within the cursive text, for example “10” or “5” as obtained from annotations 152 a and 152 b. In addition, keywords or characters such as “+”, “−”, “forward”, “back”, etc., may be obtained via text recognition software and applied to the depth of the annotation automatically for example. Alternatively, or in combination, the mouse input may be utilized to for example drag up or down to adjust the annotation and add text next to an arrow annotation for example to show that the annotation is “10” or “5”, for example which changes as the mouse is dragged and automatically updated in the annotation, while the annotation itself moves forward or backward. Alternatively, or in combination, the keyboard may be utilized to accept annotations or depths associated with annotations. The input text from the keyboard may be parsed to obtain keywords, characters or numbers for example to automatically either augment the annotation or move the annotation in depth or both. Alternatively, or in combination, the microphone may be monitored and depth accepted therefrom to automatically augment the annotation or move the annotation in depth or by asserting voice recognition software to determine keywords, characters or numbers.
Embodiments of the system may thus be utilized in obtaining a two-dimensional source image, displaying the two-dimensional source image on the screen associated with the computer, accepting an annotation associated with a desired depth of a region within the two-dimensional source image via any of the input devices coupled with the computer, obtaining a depth associated with the annotation as described above, and annotating the two-dimensional image with the annotation at the depth in a three-dimensional image, i.e., an image that has at least the annotations displayed at depth.
Embodiments of the system annotate the two-dimensional image with the annotation at the depth by generating an image encoded with left and right viewpoints or a pair of images comprising an image for viewing with a left and right eye respectively wherein the pair of images includes the annotation and the two-dimensional source image. In one or more embodiments the resulting image is a single anaglyph image, or polarized image, or any other type of image that includes the annotation shown at depth along with the two-dimensional source image.
Before or after accepting the desired depth of any portions or regions of a two-dimensional image, the computer or any other computer that may access the resulting annotated image, may accept at least one mask associated with the region of the two-dimensional source image. In other words, masking may take place before or after the annotation of the two-dimensional image. Embodiments of the system may then displace at least a portion of the region, for example a particular side, or middle or any other portion, in the two-dimensional source image left and right based on the depth to create a resulting output three-dimensional image.
When the resulting depth appears to be acceptable based on the requirements of the particular project, the system may output a three-dimensional image without the annotation. In movie-based projects, this may entail large numbers of images and tweening for example between key frames or other images generated with one or more embodiments of the system.
FIG. 2 shows an input two-dimensional image. Embodiments of the invention may be utilized on cell animation or photographic or rendered or any other type of images. As shown, an exemplary object such as a fish is shown near vertically oriented structures, which may represent coral or other structures. FIG. 3 shows a masked version of the two-dimensional image showing regions within each object to apply depth to. In one or more embodiments, the regions are utilized to apply depths that vary over the region to create regions that are not flat, i.e., not at the same depth across the entire region. As shown, region 151 a includes many sub-regions or masks, shown as different colors along the sides and back of the fish, which are not shown in the unmasked version of FIG. 2. FIG. 4 shows annotations for desired depth at a specific depth for general messages or at the depth of the desired region for example, wherein the annotations may be viewed in three-dimensional depth with anaglyph glasses. As shown, the two-dimensional image is still in two-dimensions, i.e., the depth across the entire image does not vary. In other words, the two-dimensional image along with the three-dimensional annotations specify the depths to apply to particular areas or regions and is used as an input to the depth augmentation group for example. The depth group then moves the associated regions in depth to match the annotations in an intuitive manner that is extremely fast and provides a built-in sanity check for depth. Using this method, it is inherently verifiable whether a depth of a region is at or about at the depth of the associated annotation.
FIG. 5 shows the input image converted to three-dimensional image in anaglyph format, which may be viewed in three-dimensional depth with anaglyph glasses. As shown, the individual coral pieces are at the specified depths, for example, nearest ones at “−10” at region 151 b having associated annotation 152 b, with the furthest ones at “4”, “5”, and “7”, while the region of the nose of the fish 151 a is at “0” and the fins are at offset “−2” as shown associated with annotation 152 a. In one or more embodiments these numbers may indicate the left and right shift in pixels or the depth in feet/meters of the particular regions, or any other quantitative value associated with distance or depth. In other embodiments of the invention, the polarity may be such that positive numbers represent depths further away from the viewer.
As illustrated, embodiments of the invention minimize iterative workflow by providing more intuitive instructions regarding depth for another workgroup to utilize. Thus, the system and method implemented by the system eliminate iterative workflow paths back through different workgroups by enabling other workers or workgroups to have an intuitive method in which to view depth instructions and successfully input the correct depth. Great amounts of time are saved by eliminating re-rendering by other work groups, and allow depth to be correctly input local to a work group. Embodiments of the system thus greatly aid the artist in the enhancement of images to include depth by providing realistic depth information once, to minimize manual manipulation of images.
In one or more embodiments, a particular annotation may itself have a differing depth along the annotation to show how a depth varies, i.e., is not constant or flat across a region. For example, an annotation may show a curve from a first depth to a second depth along the annotation so that the annotation has a depth range. In this case more than one number for depth may be associated with a particular annotation and analyzed by the system to shift a portion of the annotation nearer or further than another portion of the same annotation. There is no limit to the number of depths that a particular annotation may be placed at. As shown in FIG. 5, the bottom right annotation shows a depth of −14 and −4 with a “far” depth of −20, which is analyzed by an embodiment of the invention to designate that region of the image as having a depth that ranges between the three annotated depths, wherein an embodiment of the invention may thus set the depth of the masked region to as shown by shifting closer annotated portions farther left and right that deeper areas respectively.
FIG. 6 shows a logical side view of the depth applied to the annotations and optionally to the regions that may be masked for example and depth augmented as per the associated annotation. FIG. 6 illustrates the depth applied to FIGS. 1 and 2 from a side view of screen 103 to show the depth applied to the annotations 152 a and 152 b (see also FIG. 4 with anaglyph glasses on), and optionally to the associated regions 151 a and 151 b, once the associated depth notated in the annotations is applied to the regions (see also FIG. 5 with anaglyph glasses on). As shown, the annotations are at depth for three-dimensional or stereoscopic viewing 602 to aid in the application of depth to the associated regions for example wherein a viewer 601 is shown at the right side of screen 103.
FIG. 7 illustrates a flowchart illustrating an embodiment of the method implemented by one or more embodiments of the system of FIG. 1. As shown, the method includes obtaining the source image at 701, displaying the source image on the screen of the computer shown in FIG. 1, as per 702, accepting annotation associated with the desired depth of the region at 703, obtaining a depth associated with the annotation at 704 in a number of ways previously described with respect to the system, annotating the source image with the annotation in three-dimensions, for stereoscopic viewing at 705. From the viewpoint of depth workers viewing the annotations at depth, the annotations are utilized to show where depth should be applied and the system may accept masks for regions in the source image at 706 and then optionally display the regions as well at 707, and which is shown in FIG. 6. Although the annotations may not be at the same depth as the associated regions or may not even have associated regions, i.e., may simply be annotations at depth to aid in understanding something associated with the source image, the annotations at depth greatly speed and aid the process of working on images that may include depth.
While the invention herein disclosed has been described by means of specific embodiments and applications thereof, numerous modifications and variations could be made thereto by those skilled in the art without departing from the scope of the invention set forth in the claims.

Claims (21)

What is claimed is:
1. A three-dimensional annotation method comprising:
obtaining a source image that is two-dimensional or three-dimensional;
displaying said source image on a screen associated with a first computer;
accepting an annotation associated with a desired depth of a region within said source image via an input device coupled with said first computer;
obtaining at least one depth associated with said annotation;
wherein said at least one depth corresponds with said desired depth of said region; and,
annotating said source image with said annotation at said at least one depth in a three-dimensional image;
generating an annotated stereoscopic image that comprises left and right eye views that differ from each other having said annotation at said at least one depth that differs from a depth of said region; and,
generating an output stereoscopic image with said region at said same depth as said at least one depth of said annotation.
2. The method of claim 1 wherein said input device comprises a graphics tablet, a mouse, or a keyboard and wherein said accepting said annotation comprises accepting input from said graphics tablet, said mouse or said keyboard respectively.
3. The method of claim 1 wherein said input device comprises a microphone and wherein said accepting said annotation comprises accepting input from said microphone.
4. The method of claim 1 wherein said obtaining said at least one depth comprises analyzing said annotation with text recognition software to determine said at least one depth.
5. The method of claim 1 wherein said obtaining said at least one depth comprises analyzing motion of a mouse to determine said at least one depth.
6. The method of claim 1 wherein said obtaining said at least one depth comprises parsing alphanumeric data from a keyboard to determine said at least one depth.
7. The method of claim 1 wherein said obtaining said at least one depth comprises asserting voice recognition software.
8. The method of claim 1 wherein said generating said annotated stereoscopic image comprises generating a pair of images comprising a left image to view with a left eye and a right eye image to view with a right eye respectively wherein said pair of images includes said annotation and said source image.
9. The method of claim 1 wherein said generating said annotated stereoscopic image comprises generating an anaglyph image comprising a left eye colored image and a right eye colored image that are combined and that includes said annotation and said source image.
10. The method of claim 1 wherein said generating said annotated stereoscopic image comprises generating a polarized image comprising a left eye image polarized in a first axis and a right eye image polarized in a second axis orthogonal to said first axis that are combined and that includes said annotation and said source image.
11. The method of claim 1 wherein said generating said annotated stereoscopic image comprises generating a single image capable of displaying left and right eye viewpoints to a left eye and right eye respectively with differing depths that includes said annotation and said source image.
12. The method of claim 1 further comprising:
accepting at least one mask associated with said region of said source image.
13. The method of claim 1 further comprising:
displacing at least a portion of said region in said source image left and right based on said at least one depth to create said three-dimensional image.
14. The method of claim 1 further comprising:
displacing at least a portion of said region in said source image left and right based on said at least one depth to create an output three-dimensional image without said annotation.
15. The method of claim 1 wherein said annotating said source image with said annotation at said at least one depth occurs before moving at least a portion of said region in said source image left and right to alter depth within the source image.
16. The method of claim 1 wherein said annotating said source image with said annotation at said at least one depth comprises annotating said source image with a plurality of annotations that each comprise a different depth.
17. A three-dimensional annotation method comprising:
obtaining a source image that is two-dimensional or three-dimensional;
displaying said source image on a screen associated with a first computer;
accepting an annotation associated with a desired depth of a region within said source image via an input device coupled with said first computer wherein said input device comprises any combination of graphics tablet, mouse, keyboard or microphone;
obtaining a at least one depth associated with said annotation by analyzing said annotation with text recognition software or by analyzing motion of a mouse or by parsing alphanumeric data from said keyboard or by asserting voice recognition software or any combination thereof;
wherein said at least one depth corresponds with said desired depth of said region;
and, annotating said source image with said annotation at said at least one depth in a three-dimensional image wherein said annotating said source image with said annotation at said at least one depth occurs before moving at least a portion of said region in said source image left and right to alter depth within the source image; and,
generating an output stereoscopic image with said region at said same depth as said at least one depth of said annotation.
18. The method of claim 17 further comprising:
accepting at least one mask associated with said region of said source image.
19. The method of claim 17 further comprising:
displacing at least a portion of said region in said source image left and right based on said at least one depth to create said three-dimensional image.
20. The method of claim 17 further comprising:
displacing at least a portion of said region in said source image left and right based on said at least one depth to create an output three-dimensional image without said annotation.
21. The method of claim 17 wherein said annotating said source image with said annotation at said at least one depth comprises annotating said source image with a plurality of annotations that each comprise a different depth.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160065949A1 (en) * 2013-04-02 2016-03-03 Dolby Laboratories Licensing Corporation Guided 3D Display Adaptation
US10289291B2 (en) * 2016-04-05 2019-05-14 Adobe Inc. Editing nested video sequences

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9662355B2 (en) 2013-01-18 2017-05-30 Mimedx Group, Inc. Methods for treating cardiac conditions

Citations (363)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US2593925A (en) 1948-10-05 1952-04-22 Sheldon Edward Emanuel Device for color projection of invisible rays
US2799722A (en) 1954-04-26 1957-07-16 Adalia Ltd Reproduction with localized corrections
US2804500A (en) 1953-10-01 1957-08-27 Rca Corp Color interpretation system
US2874212A (en) 1955-07-29 1959-02-17 Rca Corp Generator of color images from monochrome television signals
US2883763A (en) 1956-09-28 1959-04-28 Otto F Schaper Carrier landing trainer
US2974190A (en) 1957-12-09 1961-03-07 Columbia Broadcasting Syst Inc Electronic matting apparatus
US3005042A (en) 1958-04-17 1961-10-17 David S Horsley Electronic motion picture printer
US3258528A (en) 1963-06-18 1966-06-28 Gen Precision Inc Converter for changing a black and white television signal to a color television signal
US3486242A (en) 1967-05-29 1969-12-30 Us Navy Assault boat coxswain trainer
US3551589A (en) 1967-03-23 1970-12-29 Ward Electronic Ind Apparatus for converting monochrome television signals to color signals
US3558811A (en) 1967-05-25 1971-01-26 Xerox Corp Graphic communication electrical interface system
US3560644A (en) 1968-02-29 1971-02-02 Us Navy Multiple projection television system
US3595987A (en) 1969-02-20 1971-07-27 Ass Motion Picture Tv Prod Electronic composite photography
US3603962A (en) 1970-03-18 1971-09-07 Rca Corp Color display for computer terminal
US3612755A (en) 1969-07-03 1971-10-12 Dorothea Weitzner Color pattern generator
US3617626A (en) 1969-05-16 1971-11-02 Technicolor High-definition color picture editing and recording system
US3619051A (en) 1969-10-23 1971-11-09 Norman Wright Productions Inc Production of color films from monochromatic film
US3621127A (en) 1969-02-13 1971-11-16 Karl Hope Synchronized stereoscopic system
US3647942A (en) 1970-04-23 1972-03-07 Eric J Siegel Video color synthesizer
US3673317A (en) 1970-12-30 1972-06-27 Westinghouse Electric Corp Comparitive display of images in color
US3705762A (en) 1971-09-20 1972-12-12 Color Systems Inc Method for converting black-and-white films to color films
US3706841A (en) 1971-09-17 1972-12-19 Joseph F Novak Method and apparatus for converting monochrome pictures to multi-color pictures electronically
US3710011A (en) 1970-12-04 1973-01-09 Computer Image Corp System for automatically producing a color display of a scene from a black and white representation of the scene
US3731995A (en) 1970-10-29 1973-05-08 Instructional Dynamics Method and apparatus for producing animated motion pictures
US3737567A (en) 1971-10-25 1973-06-05 S Kratomi Stereoscopic apparatus having liquid crystal filter viewer
US3742125A (en) 1971-06-11 1973-06-26 Electronic Visions Inc Color video abstract synthesizer
US3761607A (en) 1969-11-03 1973-09-25 Technicolor Video monochrom to color conversion
US3769458A (en) 1972-05-23 1973-10-30 Us Navy Color electronic synthesizer
US3770884A (en) 1972-02-07 1973-11-06 Us Navy Luminance control circuit for multi-color periscope view simulator
US3770885A (en) 1971-10-21 1973-11-06 Us Navy Color electronic periscope view simulator
US3772465A (en) 1971-06-09 1973-11-13 Ass Of Motion Picture Televisi Image modification of motion pictures
US3784736A (en) 1971-09-17 1974-01-08 J Novak Method and apparatus for converting monochrome pictures to multi-color pictures electronically
US3848856A (en) 1973-10-01 1974-11-19 Hazeltine Corp Local correction apparatus for a color previewer
US3851955A (en) 1973-02-05 1974-12-03 Marks Polarized Corp Apparatus for converting motion picture projectors for stereo display
US3971068A (en) 1975-08-22 1976-07-20 The United States Of America As Represented By The Secretary Of The Navy Image processing system
US3972067A (en) 1975-01-17 1976-07-27 The Singer Company Color video synthesizer with monochrome input
US4017166A (en) 1973-02-05 1977-04-12 Marks Polarized Corporation Motion picture film for three dimensional projection
US4021841A (en) 1975-12-31 1977-05-03 Ralph Weinger Color video synthesizer with improved image control means
US4021846A (en) 1972-09-25 1977-05-03 The United States Of America As Represented By The Secretary Of The Navy Liquid crystal stereoscopic viewer
US4054904A (en) 1975-04-05 1977-10-18 Nippon Electric Co., Ltd. Video signal coding system
US4149185A (en) 1977-03-04 1979-04-10 Ralph Weinger Apparatus and method for animated conversion of black and white video to color
US4168885A (en) 1974-11-18 1979-09-25 Marks Polarized Corporation Compatible 3-dimensional motion picture projection system
US4183046A (en) 1978-08-17 1980-01-08 Interpretation Systems Incorporated Electronic apparatus for converting digital image or graphics data to color video display formats and method therefor
US4183633A (en) 1973-02-05 1980-01-15 Marks Polarized Corporation Motion picture film for three dimensional projection
US4189743A (en) 1976-12-20 1980-02-19 New York Institute Of Technology Apparatus and method for automatic coloration and/or shading of images
US4189744A (en) 1976-12-20 1980-02-19 New York Institute Of Technology Apparatus for generating signals representing operator-selected portions of a scene
US4235503A (en) 1978-05-08 1980-11-25 Condon Chris J Film projection lens system for 3-D movies
US4258385A (en) 1979-05-15 1981-03-24 Combined Logic Company Interactive video production system and method
US4318121A (en) 1980-05-06 1982-03-02 Jason Taite Interior decor composition and display systems
US4329710A (en) 1979-09-04 1982-05-11 Taylor Harold C Color composing video system
US4334240A (en) 1979-07-03 1982-06-08 Crosfield Electronics Limited Interpolation methods and apparatus
US4436369A (en) 1981-09-08 1984-03-13 Optimax Iii, Inc. Stereoscopic lens system
US4475104A (en) 1983-01-17 1984-10-02 Lexidata Corporation Three-dimensional display system
JPS6052190U (en) 1983-09-20 1985-04-12 犬飼 修 Saddle cover with unevenness
US4544247A (en) 1982-12-24 1985-10-01 Photron Ltd. Stereoscopic projecting apparatus
US4549172A (en) 1982-06-21 1985-10-22 Motorola, Inc. Multicolor display from monochrome or multicolor control unit
SU1192168A1 (en) 1982-11-09 1985-11-15 Vladimir A Gornykh Method and apparatus for generating and reproducing television signal of pseudostereoscopic picture
US4558359A (en) 1983-11-01 1985-12-10 The United States Of America As Represented By The Secretary Of The Air Force Anaglyphic stereoscopic image apparatus and method
US4563703A (en) 1982-03-19 1986-01-07 Quantel Limited Video processing systems
US4590511A (en) 1984-01-03 1986-05-20 Honeywell Inc. Circuit for converting the phase encoded hue information of a quadrature modulated color subcarrier into distinct analog voltage levels
US4600919A (en) 1982-08-03 1986-07-15 New York Institute Of Technology Three dimensional animation
US4603952A (en) 1983-04-18 1986-08-05 Sybenga John R Professional stereoscopic projection
US4606625A (en) 1983-05-09 1986-08-19 Geshwind David M Method for colorizing black and white footage
US4608596A (en) 1983-09-09 1986-08-26 New York Institute Of Technology System for colorizing video with both pseudo-colors and selected colors
US4617592A (en) 1982-03-11 1986-10-14 Crosfield Electronics Limited Video retouching system
US4642676A (en) 1984-09-10 1987-02-10 Color Systems Technology, Inc. Priority masking techniques for video special effects
US4645459A (en) 1982-07-30 1987-02-24 Honeywell Inc. Computer generated synthesized imagery
US4647965A (en) 1983-11-02 1987-03-03 Imsand Donald J Picture processing system for three dimensional movies and video systems
US4694329A (en) 1984-04-09 1987-09-15 Corporate Communications Consultants, Inc. Color correction system and method with scene-change detection
US4697178A (en) 1984-06-29 1987-09-29 Megatek Corporation Computer graphics system for real-time calculation and display of the perspective view of three-dimensional scenes
US4700181A (en) 1983-09-30 1987-10-13 Computer Graphics Laboratories, Inc. Graphics display system
US4721951A (en) 1984-04-27 1988-01-26 Ampex Corporation Method and apparatus for color selection and production
US4723159A (en) 1983-11-02 1988-02-02 Imsand Donald J Three dimensional television and video systems
US4725879A (en) 1987-03-27 1988-02-16 Honeywell Inc. Chroma responsive inspection apparatus selectively producing analog voltage levels based on the luminance, the phase of the chrominance subcarrier, or the amplitude of the chrominance subcarrier
US4755870A (en) 1983-07-11 1988-07-05 Colorization Inc. Coloring a black and white signal using motion detection
US4758908A (en) 1986-09-12 1988-07-19 Fred James Method and apparatus for substituting a higher quality audio soundtrack for a lesser quality audio soundtrack during reproduction of the lesser quality audio soundtrack and a corresponding visual picture
US4760390A (en) 1985-02-25 1988-07-26 Computer Graphics Laboratories, Inc. Graphics display system and method with enhanced instruction data and processing
US4774583A (en) 1984-03-07 1988-09-27 Quantel Limited Video signal processing systems
US4794382A (en) 1984-09-03 1988-12-27 Crosfield Electronics Limited Image retouching
US4809065A (en) 1986-12-01 1989-02-28 Kabushiki Kaisha Toshiba Interactive system and related method for displaying data to produce a three-dimensional image of an object
US4827255A (en) 1985-05-31 1989-05-02 Ascii Corporation Display control system which produces varying patterns to reduce flickering
US4847689A (en) 1986-03-17 1989-07-11 Dainippon Screen Mfg. Co., Ltd. Method of and apparatus for tint generation and color separation over closed regioons of an image including generation of run-length color data
US4862256A (en) 1983-05-05 1989-08-29 Colorization Inc. Method of, and apparatus for, coloring a black and white video signal
US4888713A (en) 1986-09-05 1989-12-19 Cdi Technologies, Inc. Surface detail mapping system
US4903131A (en) 1987-10-30 1990-02-20 Bts Broadcast Television Systems Gmbh Method for the automatic correction of errors in image registration during film scanning
US4918624A (en) 1988-02-05 1990-04-17 The United States Of America As Represented By The United States Department Of Energy Vector generator scan converter
US4925294A (en) 1986-12-17 1990-05-15 Geshwind David M Method to convert two dimensional motion pictures for three-dimensional systems
US4933670A (en) 1988-07-21 1990-06-12 Picker International, Inc. Multi-axis trackball
US4952051A (en) 1988-09-27 1990-08-28 Lovell Douglas C Method and apparatus for producing animated drawings and in-between drawings
US4965844A (en) 1985-04-03 1990-10-23 Sony Corporation Method and system for image transformation
US4984072A (en) 1987-08-03 1991-01-08 American Film Technologies, Inc. System and method for color image enhancement
US5002387A (en) 1990-03-23 1991-03-26 Imax Systems Corporation Projection synchronization system
US5038161A (en) 1990-01-08 1991-08-06 Ki Lui S Method and a camera for combination pictures in a photograph
US5050984A (en) 1983-05-09 1991-09-24 Geshwind David M Method for colorizing footage
US5093717A (en) 1987-08-03 1992-03-03 American Film Technologies, Inc. System and method for digitally coloring images
US5177474A (en) 1989-09-13 1993-01-05 Matsushita Electric Industrial Co., Ltd. Three-dimensional display apparatus
US5181181A (en) 1990-09-27 1993-01-19 Triton Technologies, Inc. Computer apparatus input device for three-dimensional information
US5185852A (en) 1991-05-31 1993-02-09 Digital Equipment Corporation Antialiasing apparatus and method for computer printers
US5237647A (en) 1989-09-15 1993-08-17 Massachusetts Institute Of Technology Computer aided drawing in three dimensions
US5252953A (en) 1990-05-22 1993-10-12 American Film Technologies, Inc. Computergraphic animation system
US5262856A (en) 1992-06-04 1993-11-16 Massachusetts Institute Of Technology Video image compositing techniques
US5328073A (en) 1992-06-24 1994-07-12 Eastman Kodak Company Film registration and ironing gate assembly
US5341462A (en) 1990-01-11 1994-08-23 Daikin Industries, Ltd. Figure drawing method and apparatus for drawings accentuated lines
US5347620A (en) 1991-09-05 1994-09-13 Zimmer Mark A System and method for digital rendering of images and printed articulation
US5402191A (en) 1992-12-09 1995-03-28 Imax Corporation Method and apparatus for presenting stereoscopic images
US5428721A (en) 1990-02-07 1995-06-27 Kabushiki Kaisha Toshiba Data processing apparatus for editing image by using image conversion
US5481321A (en) 1991-01-29 1996-01-02 Stereographics Corp. Stereoscopic motion picture projection system
US5495576A (en) 1993-01-11 1996-02-27 Ritchey; Kurtis J. Panoramic image based virtual reality/telepresence audio-visual system and method
US5528655A (en) 1993-03-05 1996-06-18 Hitachi, Ltd. Method and apparatus for producing radiologic three-dimensional image
US5534915A (en) 1992-09-30 1996-07-09 American Film Technologies, Inc. Method of color enhancing a monochrome image using multiple base colors for selected regions of the monochrome image
WO1997024000A1 (en) 1995-12-22 1997-07-03 Xenotech Research Pty. Ltd. Image conversion and encoding techniques
US5684715A (en) 1995-06-07 1997-11-04 Canon Information Systems, Inc. Interactive video system with dynamic video object descriptors
US5699444A (en) 1995-03-31 1997-12-16 Synthonics Incorporated Methods and apparatus for using image data to determine camera location and orientation
US5717454A (en) 1993-07-14 1998-02-10 Lifetouch Portrait Studios, Inc. Method and apparatus for creating posing masks on video screen
US5729471A (en) 1995-03-31 1998-03-17 The Regents Of The University Of California Machine dynamic selection of one video camera/image of a scene from multiple video cameras/images of the scene in accordance with a particular perspective on the scene, an object in the scene, or an event in the scene
US5739844A (en) 1994-02-04 1998-04-14 Sanyo Electric Co. Ltd. Method of converting two-dimensional image into three-dimensional image
US5742291A (en) 1995-05-09 1998-04-21 Synthonics Incorporated Method and apparatus for creation of three-dimensional wire frames
US5748199A (en) 1995-12-20 1998-05-05 Synthonics Incorporated Method and apparatus for converting a two dimensional motion picture into a three dimensional motion picture
US5767923A (en) 1996-06-07 1998-06-16 Electronic Data Systems Corporation Method and system for detecting cuts in a video signal
US5778108A (en) 1996-06-07 1998-07-07 Electronic Data Systems Corporation Method and system for detecting transitional markers such as uniform fields in a video signal
US5784176A (en) 1995-01-17 1998-07-21 Fuji Photo Film Co., Ltd. Method of image noise reduction processing
US5784175A (en) 1995-10-05 1998-07-21 Microsoft Corporation Pixel block correlation process
US5825997A (en) 1994-12-28 1998-10-20 Sanyo Electric Co., Ltd. Apparatus for producing a three dimensional image from a two dimensional image
US5835163A (en) 1995-12-21 1998-11-10 Siemens Corporate Research, Inc. Apparatus for detecting a cut in a video
US5841512A (en) 1996-02-27 1998-11-24 Goodhill; Dean Kenneth Methods of previewing and editing motion pictures
US5867169A (en) 1996-04-17 1999-02-02 Pixar Method and apparatus for manipulating color values in a computer graphics system
US5880788A (en) 1996-03-25 1999-03-09 Interval Research Corporation Automated synchronization of video image sequences to new soundtracks
WO1999012127A1 (en) 1997-09-02 1999-03-11 Dynamic Digital Depth Research Pty Ltd Image processing method and apparatus
US5899861A (en) 1995-03-31 1999-05-04 Siemens Medical Systems, Inc. 3-dimensional volume by aggregating ultrasound fields of view
US5907364A (en) 1995-05-29 1999-05-25 Hitachi, Ltd. Display device for information signals
US5912994A (en) 1995-10-27 1999-06-15 Cerulean Colorization Llc Methods for defining mask of substantially color-homogeneous regions of digitized picture stock
WO1999030280A1 (en) 1997-12-05 1999-06-17 Dynamic Digital Depth Research Pty. Ltd. Improved image conversion and encoding techniques
US5920360A (en) 1996-06-07 1999-07-06 Electronic Data Systems Corporation Method and system for detecting fade transitions in a video signal
US5929859A (en) 1995-12-19 1999-07-27 U.S. Philips Corporation Parallactic depth-dependent pixel shifts
US5940528A (en) 1995-07-28 1999-08-17 Ushiodenki Kabushiki Kaisha Process for positioning of a mask relative to another mask, or masks relative to a workpiece and device for executing the process
US5959697A (en) 1996-06-07 1999-09-28 Electronic Data Systems Corporation Method and system for detecting dissolve transitions in a video signal
US5973831A (en) 1996-01-22 1999-10-26 Kleinberger; Paul Systems for three-dimensional viewing using light polarizing layers
US5973700A (en) 1992-09-16 1999-10-26 Eastman Kodak Company Method and apparatus for optimizing the resolution of images which have an apparent depth
US5982350A (en) 1991-10-07 1999-11-09 Eastman Kodak Company Compositer interface for arranging the components of special effects for a motion picture production
US5990903A (en) 1997-02-03 1999-11-23 Micron Technologies, Inc. Method and apparatus for performing chroma key, transparency and fog operations
US5999660A (en) 1995-07-26 1999-12-07 California Institute Of Technology Imaging system for correction of perceptual distortion in wide angle images
US6005582A (en) 1995-08-04 1999-12-21 Microsoft Corporation Method and system for texture mapping images with anisotropic filtering
US6011581A (en) 1992-11-16 2000-01-04 Reveo, Inc. Intelligent method and system for producing and displaying stereoscopically-multiplexed images of three-dimensional objects for use in realistic stereoscopic viewing thereof in interactive virtual reality display environments
US6014473A (en) 1996-02-29 2000-01-11 Acuson Corporation Multiple ultrasound image registration system, method and transducer
US6023276A (en) 1994-06-24 2000-02-08 Canon Kabushiki Kaisha Image processing apparatus and method for forming a three-dimensional display
US6025882A (en) 1987-07-27 2000-02-15 Geshwind; David Michael Methods and devices for incorporating additional information such as HDTV side strips into the blanking intervals of a previous frame
US6031564A (en) 1997-07-07 2000-02-29 Reveo, Inc. Method and apparatus for monoscopic to stereoscopic image conversion
US6049628A (en) 1995-09-01 2000-04-11 Cerulean Colorization Llc Polygon reshaping in picture colorization
US6056691A (en) 1998-06-24 2000-05-02 Ecton, Inc. System for collecting ultrasound imaging data at an adjustable collection image frame rate
US6067125A (en) 1997-05-15 2000-05-23 Minerva Systems Structure and method for film grain noise reduction
US6088006A (en) 1995-12-20 2000-07-11 Olympus Optical Co., Ltd. Stereoscopic image generating system for substantially matching visual range with vergence distance
US6091421A (en) 1996-12-19 2000-07-18 U.S. Philips Corporation Displaying autostereograms of various depths until proper 3D perception is achieved
US6108005A (en) 1996-08-30 2000-08-22 Space Corporation Method for producing a synthesized stereoscopic image
US6119123A (en) 1997-12-02 2000-09-12 U.S. Philips Corporation Apparatus and method for optimizing keyframe and blob retrieval and storage
US6118584A (en) 1995-07-05 2000-09-12 U.S. Philips Corporation Autostereoscopic display apparatus
US6141433A (en) 1997-06-19 2000-10-31 Ncr Corporation System and method for segmenting image regions from a scene likely to represent particular objects in the scene
US6166744A (en) 1997-11-26 2000-12-26 Pathfinder Systems, Inc. System for combining virtual images with real-world scenes
WO2000079781A1 (en) 1999-06-17 2000-12-28 Dynamic Digital Depth Research Pty Ltd. Image enhancement system
WO2001001348A1 (en) 1999-06-25 2001-01-04 Dynamic Digital Depth Research Pty Ltd. Image conversion and encoding techniques
US6173328B1 (en) 1996-05-28 2001-01-09 Hitachi, Ltd. System for transferring multimedia information
US6184937B1 (en) 1996-04-29 2001-02-06 Princeton Video Image, Inc. Audio enhanced electronic insertion of indicia into video
US6198484B1 (en) 1996-06-27 2001-03-06 Kabushiki Kaisha Toshiba Stereoscopic display system
US6208348B1 (en) 1998-05-27 2001-03-27 In-Three, Inc. System and method for dimensionalization processing of images in consideration of a pedetermined image projection format
US6211941B1 (en) 1995-10-10 2001-04-03 Jonathan Erland Matte process for composite photography
US6226015B1 (en) 1998-02-25 2001-05-01 Intel Corporation Method of automatically producing sketches and cartoon images from movies
US6263101B1 (en) 1995-09-01 2001-07-17 Cerulean Colorization Llc Filtering in picture colorization
US6271859B1 (en) 1998-04-06 2001-08-07 Adobe Systems Incorporated Recoloring art work
US20010025267A1 (en) 2000-01-14 2001-09-27 Stephen Janiszewski System and method for facilitating bidding transactions and conducting project management utilizing software metric collection
US6314211B1 (en) 1997-12-30 2001-11-06 Samsung Electronics Co., Ltd. Apparatus and method for converting two-dimensional image sequence into three-dimensional image using conversion of motion disparity into horizontal disparity and post-processing method during generation of three-dimensional image
US20010051913A1 (en) 2000-06-07 2001-12-13 Avinash Vashistha Method and system for outsourcing information technology projects and services
US6337709B1 (en) 1995-02-13 2002-01-08 Hitachi, Ltd. Image display device
WO2002013143A1 (en) 2000-08-04 2002-02-14 Dynamic Digital Depth Research Pty Ltd. Image conversion and encoding technique
US6363170B1 (en) 1998-04-30 2002-03-26 Wisconsin Alumni Research Foundation Photorealistic scene reconstruction by voxel coloring
US6364835B1 (en) 1998-11-20 2002-04-02 Acuson Corporation Medical diagnostic ultrasound imaging methods for extended field of view
US6373970B1 (en) 1998-12-29 2002-04-16 General Electric Company Image registration using fourier phase matching
US20020049778A1 (en) 2000-03-31 2002-04-25 Bell Peter W. System and method of information outsourcing
US20020048395A1 (en) 2000-08-09 2002-04-25 Harman Philip Victor Image conversion and encoding techniques
JP2002123842A (en) 2000-10-13 2002-04-26 Takumi:Kk Device for generating stereoscopic image, and medium for recording information
US6390980B1 (en) 1998-12-07 2002-05-21 Atl Ultrasound, Inc. Spatial compounding with ultrasonic doppler signal information
US20020063780A1 (en) 1998-11-23 2002-05-30 Harman Philip Victor Teleconferencing system
US20020075384A1 (en) 1997-11-21 2002-06-20 Dynamic Digital Depth Research Pty. Ltd. Eye tracking apparatus
US6416477B1 (en) 2000-08-22 2002-07-09 Koninklijke Philips Electronics N.V. Ultrasonic diagnostic systems with spatial compounded panoramic imaging
US6426750B1 (en) 1998-07-14 2002-07-30 Microsoft Corporation Run-time geomorphs
US6445816B1 (en) 1996-09-12 2002-09-03 Autodesk Canada Inc. Compositing video image data
US6456340B1 (en) 1998-08-12 2002-09-24 Pixonics, Llc Apparatus and method for performing image transforms in a digital display system
US6466205B2 (en) 1998-11-19 2002-10-15 Push Entertainment, Inc. System and method for creating 3D models from 2D sequential image data
US6492986B1 (en) 1997-06-02 2002-12-10 The Trustees Of The University Of Pennsylvania Method for human face shape and motion estimation based on integrating optical flow and deformable models
US6509926B1 (en) 2000-02-17 2003-01-21 Sensormatic Electronics Corporation Surveillance apparatus for camera surveillance system
US20030018608A1 (en) 1998-05-14 2003-01-23 Purdue Research Foundation, Inc. Method and system for secure computational outsourcing and disguise
US6515659B1 (en) 1998-05-27 2003-02-04 In-Three, Inc. Method and system for creating realistic smooth three-dimensional depth contours from two-dimensional images
JP2003046982A (en) 2001-07-30 2003-02-14 Wowow Inc System for participating in cheer in tv broadcast
US20030046656A1 (en) 2002-08-29 2003-03-06 Asha Saxena Information technology outsourcing hubs
US6535233B1 (en) 1998-11-20 2003-03-18 International Business Machines Corporation Method and apparatus for adjusting the display scale of an image
US20030069777A1 (en) 2000-01-31 2003-04-10 Zvi Or-Bach Integrated system for providing remote outsourcing of services
US20030093790A1 (en) 2000-03-28 2003-05-15 Logan James D. Audio and video program recording, editing and playback systems using metadata
US20030097423A1 (en) 2001-10-26 2003-05-22 Yuka Ozawa Preview system for data broadcast contents
US6590573B1 (en) 1983-05-09 2003-07-08 David Michael Geshwind Interactive computer system for creating three-dimensional image information and for converting two-dimensional image information for three-dimensional display systems
US6606166B1 (en) 1999-04-30 2003-08-12 Adobe Systems Incorporated Pattern dithering
US20030154299A1 (en) 2002-02-08 2003-08-14 Chris Hamilton Method of home media server control
US6611268B1 (en) 2000-05-30 2003-08-26 Microsoft Corporation System and process for generating 3D video textures using video-based rendering techniques
US20030177024A1 (en) 2000-08-18 2003-09-18 Koichi Tsuchida Outsourcing service apparatus concerning electronic drawing data
US6650339B1 (en) 1996-08-02 2003-11-18 Autodesk, Inc. Three dimensional modeling and animation system
US6662357B1 (en) 1999-08-31 2003-12-09 Accenture Llp Managing information in an integrated development architecture framework
US6665798B1 (en) 2000-04-27 2003-12-16 International Business Machines Corporation System for assigning data processing activities to users through an interactive display interface dynamically granting access only during activity to normally inaccessible resources needed for activity
US20040004616A1 (en) 2002-07-03 2004-01-08 Minehiro Konya Mobile equipment with three dimensional display function
US6677944B1 (en) 1998-04-14 2004-01-13 Shima Seiki Manufacturing Limited Three-dimensional image generating apparatus that creates a three-dimensional model from a two-dimensional image by image processing
US6686591B2 (en) 2000-09-18 2004-02-03 Holon Co., Ltd Apparatus for inspecting mask
US6707487B1 (en) 1998-11-20 2004-03-16 In The Play, Inc. Method for representing real-time motion
US20040062439A1 (en) 2002-09-27 2004-04-01 Eastman Kodak Company Method and system for generating a foreground mask for a composite image
US6727938B1 (en) 1997-04-14 2004-04-27 Robert Bosch Gmbh Security system with maskable motion detection and camera with an adjustable field of view
US6737957B1 (en) 2000-02-16 2004-05-18 Verance Corporation Remote control signaling using audio watermarks
US6744461B1 (en) 1999-08-31 2004-06-01 Matsushita Electric Industrial Co., Ltd. Monitor camera system and method of displaying picture from monitor camera thereof
US6765568B2 (en) 2000-06-12 2004-07-20 Vrex, Inc. Electronic stereoscopic media delivery system
JP2004207985A (en) 2002-12-25 2004-07-22 Fuji Photo Film Co Ltd Digital camera
US6791542B2 (en) 2002-06-17 2004-09-14 Mitsubishi Electric Research Laboratories, Inc. Modeling 3D objects with opacity hulls
US6798406B1 (en) 1999-09-15 2004-09-28 Sharp Kabushiki Kaisha Stereo images with comfortable perceived depth
US20040189796A1 (en) 2003-03-28 2004-09-30 Flatdis Co., Ltd. Apparatus and method for converting two-dimensional image to three-dimensional stereoscopic image in real time using motion parallax
US6813602B2 (en) 1998-08-24 2004-11-02 Mindspeed Technologies, Inc. Methods and systems for searching a low complexity random codebook structure
US20040258089A1 (en) 2002-11-18 2004-12-23 Jacob Derechin System and method for reducing bandwidth requirements for remote applications by utilizing client processing power
US6847737B1 (en) 1998-03-13 2005-01-25 University Of Houston System Methods for performing DAF data filtering and padding
US6859523B1 (en) 2001-11-14 2005-02-22 Qgenisys, Inc. Universal task management system, method and product for automatically managing remote workers, including assessing the work product and workers
US20050083421A1 (en) 2003-10-16 2005-04-21 Vladimir Berezin Dynamic range enlargement in CMOS image sensors
US20050088515A1 (en) 2003-10-23 2005-04-28 Geng Z. J. Camera ring for three-dimensional (3D) surface imaging
US20050146521A1 (en) 1998-05-27 2005-07-07 Kaye Michael C. Method for creating and presenting an accurate reproduction of three-dimensional images converted from two-dimensional images
US20050188297A1 (en) 2001-11-01 2005-08-25 Automatic E-Learning, Llc Multi-audio add/drop deterministic animation synchronization
US20050207623A1 (en) 2000-03-09 2005-09-22 Microsoft Corporation Rapid computer modeling of faces for animation
US20050231501A1 (en) 2004-04-19 2005-10-20 Oki Electric Industry Co., Ltd. Power-down circuit for a display device
US6964009B2 (en) 1999-10-21 2005-11-08 Automated Media Processing Solutions, Inc. Automated media delivery system
US6965379B2 (en) 2001-05-08 2005-11-15 Koninklijke Philips Electronics N.V. N-view synthesis from monocular video of certain broadcast and stored mass media content
US6973434B2 (en) 1998-01-09 2005-12-06 Millermed Software, Inc. Computer-based system for automating administrative procedures in an office
US7000223B1 (en) 2000-09-08 2006-02-14 Corel Corporation Method and apparatus for preparing a definition to control automated data processing
US7006881B1 (en) 1991-12-23 2006-02-28 Steven Hoffberg Media recording device with remote graphic user interface
US20060061583A1 (en) 2004-09-23 2006-03-23 Conversion Works, Inc. System and method for processing video images
US7027054B1 (en) 2002-08-14 2006-04-11 Avaworks, Incorporated Do-it-yourself photo realistic talking head creation system and method
US7032177B2 (en) 2001-12-27 2006-04-18 Digeo, Inc. Method and system for distributing personalized editions of media programs using bookmarks
US20060083421A1 (en) 2004-10-14 2006-04-20 Wu Weiguo Image processing apparatus and method
US20060143059A1 (en) 2004-04-26 2006-06-29 Barry Sandrew System and method for minimizing transfer of motion picture data manipulated with outsourced labor
US7079075B1 (en) 2005-06-07 2006-07-18 Trimble Navigation Limited GPS rover station for synthesizing synthetic reference phases for controlling accuracy of high integrity positions
US20060159345A1 (en) 2005-01-14 2006-07-20 Advanced Digital Systems, Inc. System and method for associating handwritten information with one or more objects
WO2006078237A1 (en) 2005-01-15 2006-07-27 In-Three, Inc. Method for converting two-dimensional images to three-dimensional images using depth perspective
US7084868B2 (en) 2000-04-26 2006-08-01 University Of Louisville Research Foundation, Inc. System and method for 3-D digital reconstruction of an oral cavity from a sequence of 2-D images
US7102633B2 (en) 1998-05-27 2006-09-05 In-Three, Inc. Method for conforming objects to a common depth perspective for converting two-dimensional images into three-dimensional images
US7117231B2 (en) 2000-12-07 2006-10-03 International Business Machines Corporation Method and system for the automatic generation of multi-lingual synchronized sub-titles for audiovisual data
US7116323B2 (en) 1998-05-27 2006-10-03 In-Three, Inc. Method of hidden surface reconstruction for creating accurate three-dimensional images converted from two-dimensional images
US7116324B2 (en) 1998-05-27 2006-10-03 In-Three, Inc. Method for minimizing visual artifacts converting two-dimensional motion pictures into three-dimensional motion pictures
US7123263B2 (en) 2001-08-14 2006-10-17 Pulse Entertainment, Inc. Automatic 3D modeling system and method
US7136075B1 (en) 2003-08-26 2006-11-14 Adobe Systems Incorporated Compositing in the presence of different transparencies
US20060274905A1 (en) 2005-06-03 2006-12-07 Apple Computer, Inc. Techniques for presenting sound effects on a portable media player
US7181081B2 (en) 2001-05-04 2007-02-20 Legend Films Inc. Image sequence enhancement system and method
US20070052807A1 (en) 2005-09-07 2007-03-08 Fuji Xerox Co., Ltd. System and method for user monitoring interface of 3-D video streams from multiple cameras
US7254265B2 (en) 2000-04-01 2007-08-07 Newsight Corporation Methods and systems for 2D/3D image conversion and optimization
US7260274B2 (en) 2000-12-01 2007-08-21 Imax Corporation Techniques and systems for developing high-resolution imagery
US20070238981A1 (en) 2006-03-13 2007-10-11 Bracco Imaging Spa Methods and apparatuses for recording and reviewing surgical navigation processes
US20070236514A1 (en) 2006-03-29 2007-10-11 Bracco Imaging Spa Methods and Apparatuses for Stereoscopic Image Guided Surgical Navigation
US20070260634A1 (en) 2006-05-04 2007-11-08 Nokia Corporation Apparatus, system, method, and computer program product for synchronizing the presentation of media content
US7298094B2 (en) 2005-12-28 2007-11-20 Canon Kabushiki Kaisha Image display apparatus
US7308139B2 (en) 2002-07-12 2007-12-11 Chroma Energy, Inc. Method, system, and apparatus for color representation of seismic data and associated measurements
US20070286486A1 (en) 2006-05-30 2007-12-13 Goldstein Ira P System and method for automated reading of handwriting
WO2007148219A2 (en) 2006-06-23 2007-12-27 Imax Corporation Methods and systems for converting 2d motion pictures for stereoscopic 3d exhibition
US20070296721A1 (en) 2004-11-08 2007-12-27 Electronics And Telecommunications Research Institute Apparatus and Method for Producting Multi-View Contents
EP1719079B1 (en) 2004-02-17 2008-01-02 Koninklijke Philips Electronics N.V. Creating a depth map
US20080002878A1 (en) 2006-06-28 2008-01-03 Somasundaram Meiyappan Method For Fast Stereo Matching Of Images
US7333519B2 (en) 2002-04-23 2008-02-19 Gateway Inc. Method of manually fine tuning audio synchronization of a home network
US20080044155A1 (en) 2006-08-17 2008-02-21 David Kuspa Techniques for positioning audio and video clips
US7343082B2 (en) 2001-09-12 2008-03-11 Ryshco Media Inc. Universal guide track
US20080079851A1 (en) 2006-09-29 2008-04-03 Stanger Leon J Audio video timing measurement and synchronization
US20080117233A1 (en) 2005-01-26 2008-05-22 Jonathan Mather Multiple-Viewer Multiple-View Display And Display Controller
US20080147917A1 (en) 2006-12-19 2008-06-19 Lees Jeremy J Method and apparatus for maintaining synchronization of audio in a computing system
WO2008075276A1 (en) 2006-12-19 2008-06-26 Koninklijke Philips Electronics N.V. Method and system to convert 2d video into 3d video
US20080162577A1 (en) 2006-12-27 2008-07-03 Takashi Fukuda Automatic method to synchronize the time-line of video with audio feature quantity
US20080181486A1 (en) 2007-01-26 2008-07-31 Conversion Works, Inc. Methodology for 3d scene reconstruction from 2d image sequences
US20080226194A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. Systems and methods for treating occlusions in 2-d to 3-d image conversion
US20080226181A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. Systems and methods for depth peeling using stereoscopic variables during the rendering of 2-d to 3-d images
US20080225042A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. Systems and methods for allowing a user to dynamically manipulate stereoscopic parameters
US20080226160A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. Systems and methods for filling light in frames during 2-d to 3-d image conversion
US20080227075A1 (en) 2007-03-15 2008-09-18 Ctb/Mcgraw-Hill, Llc Method and system for redundant data capture from scanned documents
US20080228449A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. Systems and methods for 2-d to 3-d conversion using depth access segments to define an object
US20080225045A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. Systems and methods for 2-d to 3-d image conversion using mask to model, or model to mask, conversion
US20080225059A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. System and method for using off-screen mask space to provide enhanced viewing
US20080226123A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. Systems and methods for filling occluded information for 2-d to 3-d conversion
US20080225040A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. System and method of treating semi-transparent features in the conversion of two-dimensional images to three-dimensional images
US20080226128A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. System and method for using feature tracking techniques for the generation of masks in the conversion of two-dimensional images to three-dimensional images
US20080246836A1 (en) 2004-09-23 2008-10-09 Conversion Works, Inc. System and method for processing video images for camera recreation
US20080246759A1 (en) 2005-02-23 2008-10-09 Craig Summers Automatic Scene Modeling for the 3D Camera and 3D Video
US20080259073A1 (en) 2004-09-23 2008-10-23 Conversion Works, Inc. System and method for processing video images
US7461002B2 (en) 2001-04-13 2008-12-02 Dolby Laboratories Licensing Corporation Method for time aligning audio signals using characterizations based on auditory events
US20090002368A1 (en) 2007-06-26 2009-01-01 Nokia Corporation Method, apparatus and a computer program product for utilizing a graphical processing unit to provide depth information for autostereoscopic display
US20090033741A1 (en) 2007-07-30 2009-02-05 Eun-Soo Kim 2d-3d convertible display device and method having a background of full-parallax integral images
US7512262B2 (en) 2005-02-25 2009-03-31 Microsoft Corporation Stereo-based image processing
US7519990B1 (en) 2002-07-19 2009-04-14 Fortinet, Inc. Managing network traffic flow
US7532225B2 (en) 2003-09-18 2009-05-12 Kabushiki Kaisha Toshiba Three-dimensional image display device
US7538768B2 (en) 2001-12-20 2009-05-26 Olympus Corporation Image display device utilizing 3D protecting process by detecting a parallax value
US20090144772A1 (en) * 2007-11-30 2009-06-04 Google Inc. Video object tag creation and processing
US20090147074A1 (en) * 2007-12-11 2009-06-11 David Getty Methods and Systems for Marking Stereo Pairs of Images
US7558420B2 (en) 2002-08-20 2009-07-07 Kazunari Era Method and apparatus for generating a stereographic image
US20090179895A1 (en) * 2008-01-15 2009-07-16 Google Inc. Three-Dimensional Annotations for Street View Data
US7573489B2 (en) 2006-06-01 2009-08-11 Industrial Light & Magic Infilling for 2D to 3D image conversion
US7573475B2 (en) 2006-06-01 2009-08-11 Industrial Light & Magic 2D to 3D image conversion
US7576332B2 (en) 2003-08-01 2009-08-18 St. George's Healthcare Nhs Trust Imaging system
US20090219383A1 (en) 2007-12-21 2009-09-03 Charles Gregory Passmore Image depth augmentation system and method
US7610155B2 (en) 2004-12-28 2009-10-27 Weyerhaeuser Nr Company Methods for processing spectral data for enhanced embryo classification
US7624337B2 (en) 2000-07-24 2009-11-24 Vmark, Inc. System and method for indexing, searching, identifying, and editing portions of electronic multimedia files
US20090290758A1 (en) 2008-05-20 2009-11-26 Victor Ng-Thow-Hing Rectangular Table Detection Using Hybrid RGB and Depth Camera Sensors
US20090297061A1 (en) 2008-05-30 2009-12-03 General Instrument Corporation Replacing image information in a captured image
US7630533B2 (en) 2007-09-20 2009-12-08 Hologic, Inc. Breast tomosynthesis with display of highlighted suspected calcifications
US20090303204A1 (en) 2007-01-05 2009-12-10 Invensense Inc. Controlling and accessing content using motion processing on mobile devices
US7663689B2 (en) 2004-01-16 2010-02-16 Sony Computer Entertainment Inc. Method and apparatus for optimizing capture device settings through depth information
US20100045666A1 (en) 2008-08-22 2010-02-25 Google Inc. Anchored Navigation In A Three Dimensional Environment On A Mobile Device
US7680653B2 (en) 2000-02-11 2010-03-16 Comsat Corporation Background noise reduction in sinusoidal based speech coding systems
US20100166338A1 (en) 2008-12-26 2010-07-01 Samsung Electronics Co., Ltd. Image processing method and apparatus therefor
US7772532B2 (en) 2005-07-01 2010-08-10 Richard Ian Olsen Camera and method having optics and photo detectors which are adjustable with respect to each other
US20100289819A1 (en) * 2009-05-14 2010-11-18 Pure Depth Limited Image manipulation
US7852461B2 (en) 2007-11-15 2010-12-14 Microsoft International Holdings B.V. Dual mode depth imaging
US7860342B2 (en) * 2005-07-01 2010-12-28 The Invention Science Fund I, Llc Modifying restricted images
US20110050864A1 (en) 2009-09-01 2011-03-03 Prime Focus Vfx Services Ii Inc. System and process for transforming two-dimensional images into three-dimensional images
WO2011029209A2 (en) 2009-09-10 2011-03-17 Liberovision Ag Method and apparatus for generating and processing depth-enhanced images
US20110069152A1 (en) 2009-09-24 2011-03-24 Shenzhen Tcl New Technology Ltd. 2D to 3D video conversion
US20110072397A1 (en) * 2009-09-22 2011-03-24 Scott Baker Image Data and Annotation Processing System
US20110074784A1 (en) 2009-09-30 2011-03-31 Disney Enterprises, Inc Gradient modeling toolkit for sculpting stereoscopic depth models for converting 2-d images into stereoscopic 3-d images
US20110081042A1 (en) * 2009-10-07 2011-04-07 Samsung Electronics Co., Ltd. Apparatus and method for adjusting depth
US20110096832A1 (en) 2009-10-23 2011-04-28 Qualcomm Incorporated Depth map generation techniques for conversion of 2d video data to 3d video data
US20110109617A1 (en) * 2009-11-12 2011-05-12 Microsoft Corporation Visualizing Depth
US20110158504A1 (en) * 2009-12-31 2011-06-30 Disney Enterprises, Inc. Apparatus and method for indicating depth of one or more pixels of a stereoscopic 3-d image comprised from a plurality of 2-d layers
US20110161843A1 (en) * 2009-12-31 2011-06-30 Broadcom Corporation Internet browser and associated content definition supporting mixed two and three dimensional displays
US20110188773A1 (en) 2010-02-04 2011-08-04 Jianing Wei Fast Depth Map Generation for 2D to 3D Conversion
US20110273531A1 (en) 2009-12-14 2011-11-10 Atsushi Ito Image processing apparatus, image processing method and program
US8090402B1 (en) * 2003-09-26 2012-01-03 Iwao Fujisaki Communication device
WO2012016600A1 (en) 2010-08-06 2012-02-09 Trident Microsystems, Inc. Method for generating of a depth map, method for converting a two-dimensional image sequence and device for generating a stereoscopic image
US20120039525A1 (en) 2010-08-12 2012-02-16 At&T Intellectual Property I, L.P. Apparatus and method for providing three dimensional media content
US20120087570A1 (en) 2010-06-21 2012-04-12 Iist Co., Ltd. Method and apparatus for converting 2D image into 3D image
US20120102435A1 (en) 2009-06-24 2012-04-26 Sang-Choul Han Stereoscopic image reproduction device and method for providing 3d user interface
US8194102B2 (en) * 2008-10-06 2012-06-05 Microsoft Corporation Rendering annotations for images
US8213711B2 (en) 2007-04-03 2012-07-03 Her Majesty The Queen In Right Of Canada As Represented By The Minister Of Industry, Through The Communications Research Centre Canada Method and graphical user interface for modifying depth maps
US20120188334A1 (en) 2010-09-22 2012-07-26 Berfort Management Inc. Generating 3D stereoscopic content from monoscopic video content
US8244104B2 (en) 2002-06-25 2012-08-14 Sony Corporation System for creating content using content project data
KR20120095059A (en) 2011-02-18 2012-08-28 (주)스튜디오 로프트 Method of converting 2d images to 3d images
US20120218382A1 (en) 2010-08-02 2012-08-30 Ron Zass Multiclass clustering with side information from multiple sources and the application of converting 2d video to 3d
US20120249746A1 (en) 2011-03-28 2012-10-04 Cornog Katherine H Methods for detecting, visualizing, and correcting the perceived depth of a multicamera image sequence
US20120274626A1 (en) 2011-04-29 2012-11-01 Himax Media Solutions, Inc. Stereoscopic Image Generating Apparatus and Method
US20120274634A1 (en) 2010-11-10 2012-11-01 Hitoshi Yamada Depth information generating device, depth information generating method, and stereo image converter
US20120281906A1 (en) 2011-05-04 2012-11-08 Texas Instruments Incorporated Method, System and Computer Program Product for Converting a 2D Image Into a 3D Image
US8320634B2 (en) 2009-07-11 2012-11-27 Richard Deutsch System and method for monitoring protective garments
US20120306874A1 (en) 2009-12-14 2012-12-06 Agency For Science, Technology And Research Method and system for single view image 3 d face synthesis
US20120306849A1 (en) * 2011-05-31 2012-12-06 General Electric Company Method and system for indicating the depth of a 3d cursor in a volume-rendered image
US20130044192A1 (en) 2011-08-17 2013-02-21 Google Inc. Converting 3d video into 2d video based on identification of format type of 3d video and providing either 2d or 3d video based on identification of display device type
US8384763B2 (en) 2005-07-26 2013-02-26 Her Majesty the Queen in right of Canada as represented by the Minster of Industry, Through the Communications Research Centre Canada Generating a depth map from a two-dimensional source image for stereoscopic and multiview imaging
US20130051659A1 (en) 2010-04-28 2013-02-28 Panasonic Corporation Stereoscopic image processing device and stereoscopic image processing method
US20130063549A1 (en) 2011-09-09 2013-03-14 Lars Schnyder Systems and methods for converting video
US8401336B2 (en) * 2001-05-04 2013-03-19 Legend3D, Inc. System and method for rapid image sequence depth enhancement with augmented computer-generated elements
KR20130061289A (en) 2011-12-01 2013-06-11 엘지디스플레이 주식회사 Method of multi-view image formation and stereoscopic image display device using the same
US8462988B2 (en) 2007-01-23 2013-06-11 Valeo Schalter Und Sensoren Gmbh Method and system for universal lane boundary detection
WO2013084234A1 (en) 2011-12-05 2013-06-13 Rotary View Ltd. System and method for generating a stereoscopic 3d presentation from picture sequence emanating from single lens source
US8488868B2 (en) 2007-04-03 2013-07-16 Her Majesty The Queen In Right Of Canada, As Represented By The Minister Of Industry, Through The Communications Research Centre Canada Generation of a depth map from a monoscopic color image for rendering stereoscopic still and video images
US8526704B2 (en) 2007-01-11 2013-09-03 Intellectual Property Mvm B.V. Measurement of functional microcirculatory geometry and velocity distributions using automated image analysis
US20130234934A1 (en) 2010-12-22 2013-09-12 Zspace, Inc. Three-Dimensional Collaboration
US8543573B2 (en) 2004-03-18 2013-09-24 Accuracy & Aesthetics Context driven topologies
US20130258062A1 (en) 2012-03-29 2013-10-03 Korea Advanced Institute Of Science And Technology Method and apparatus for generating 3d stereoscopic image
US8634072B2 (en) 2004-03-06 2014-01-21 Michael Trainer Methods and apparatus for determining characteristics of particles
US8644596B1 (en) 2012-06-19 2014-02-04 Google Inc. Conversion of monoscopic visual content using image-depth database
US8670651B2 (en) 2011-02-09 2014-03-11 Sony Corporation Editing device, editing method, and program
US8698798B2 (en) * 2009-03-04 2014-04-15 Landmark Graphics Corporation Visualization of images on user-defined folded structures in a three-dimensional subsurface environment
US8907968B2 (en) 2011-03-31 2014-12-09 Panasonic Corporation Image rendering device, image rendering method, and image rendering program for rendering stereoscopic panoramic images
EP3052454A2 (en) 2013-10-04 2016-08-10 Solidia Technologies, Inc. Hollow-core articles and composite materials, methods of production and uses thereof

Patent Citations (395)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US2593925A (en) 1948-10-05 1952-04-22 Sheldon Edward Emanuel Device for color projection of invisible rays
US2804500A (en) 1953-10-01 1957-08-27 Rca Corp Color interpretation system
US2799722A (en) 1954-04-26 1957-07-16 Adalia Ltd Reproduction with localized corrections
US2874212A (en) 1955-07-29 1959-02-17 Rca Corp Generator of color images from monochrome television signals
US2883763A (en) 1956-09-28 1959-04-28 Otto F Schaper Carrier landing trainer
US2974190A (en) 1957-12-09 1961-03-07 Columbia Broadcasting Syst Inc Electronic matting apparatus
US3005042A (en) 1958-04-17 1961-10-17 David S Horsley Electronic motion picture printer
US3258528A (en) 1963-06-18 1966-06-28 Gen Precision Inc Converter for changing a black and white television signal to a color television signal
US3551589A (en) 1967-03-23 1970-12-29 Ward Electronic Ind Apparatus for converting monochrome television signals to color signals
US3558811A (en) 1967-05-25 1971-01-26 Xerox Corp Graphic communication electrical interface system
US3486242A (en) 1967-05-29 1969-12-30 Us Navy Assault boat coxswain trainer
US3560644A (en) 1968-02-29 1971-02-02 Us Navy Multiple projection television system
US3621127A (en) 1969-02-13 1971-11-16 Karl Hope Synchronized stereoscopic system
US3595987A (en) 1969-02-20 1971-07-27 Ass Motion Picture Tv Prod Electronic composite photography
US3617626A (en) 1969-05-16 1971-11-02 Technicolor High-definition color picture editing and recording system
US3612755A (en) 1969-07-03 1971-10-12 Dorothea Weitzner Color pattern generator
US3619051A (en) 1969-10-23 1971-11-09 Norman Wright Productions Inc Production of color films from monochromatic film
US3761607A (en) 1969-11-03 1973-09-25 Technicolor Video monochrom to color conversion
US3603962A (en) 1970-03-18 1971-09-07 Rca Corp Color display for computer terminal
US3647942A (en) 1970-04-23 1972-03-07 Eric J Siegel Video color synthesizer
US3731995A (en) 1970-10-29 1973-05-08 Instructional Dynamics Method and apparatus for producing animated motion pictures
US3710011A (en) 1970-12-04 1973-01-09 Computer Image Corp System for automatically producing a color display of a scene from a black and white representation of the scene
US3673317A (en) 1970-12-30 1972-06-27 Westinghouse Electric Corp Comparitive display of images in color
US3772465A (en) 1971-06-09 1973-11-13 Ass Of Motion Picture Televisi Image modification of motion pictures
US3742125A (en) 1971-06-11 1973-06-26 Electronic Visions Inc Color video abstract synthesizer
US3784736A (en) 1971-09-17 1974-01-08 J Novak Method and apparatus for converting monochrome pictures to multi-color pictures electronically
US3706841A (en) 1971-09-17 1972-12-19 Joseph F Novak Method and apparatus for converting monochrome pictures to multi-color pictures electronically
US3705762A (en) 1971-09-20 1972-12-12 Color Systems Inc Method for converting black-and-white films to color films
US3770885A (en) 1971-10-21 1973-11-06 Us Navy Color electronic periscope view simulator
US3737567A (en) 1971-10-25 1973-06-05 S Kratomi Stereoscopic apparatus having liquid crystal filter viewer
US3770884A (en) 1972-02-07 1973-11-06 Us Navy Luminance control circuit for multi-color periscope view simulator
US3769458A (en) 1972-05-23 1973-10-30 Us Navy Color electronic synthesizer
US4021846A (en) 1972-09-25 1977-05-03 The United States Of America As Represented By The Secretary Of The Navy Liquid crystal stereoscopic viewer
US4017166A (en) 1973-02-05 1977-04-12 Marks Polarized Corporation Motion picture film for three dimensional projection
US4183633A (en) 1973-02-05 1980-01-15 Marks Polarized Corporation Motion picture film for three dimensional projection
US3851955A (en) 1973-02-05 1974-12-03 Marks Polarized Corp Apparatus for converting motion picture projectors for stereo display
US3848856A (en) 1973-10-01 1974-11-19 Hazeltine Corp Local correction apparatus for a color previewer
US4168885A (en) 1974-11-18 1979-09-25 Marks Polarized Corporation Compatible 3-dimensional motion picture projection system
US3972067A (en) 1975-01-17 1976-07-27 The Singer Company Color video synthesizer with monochrome input
US4054904A (en) 1975-04-05 1977-10-18 Nippon Electric Co., Ltd. Video signal coding system
US3971068A (en) 1975-08-22 1976-07-20 The United States Of America As Represented By The Secretary Of The Navy Image processing system
US4021841A (en) 1975-12-31 1977-05-03 Ralph Weinger Color video synthesizer with improved image control means
US4189744A (en) 1976-12-20 1980-02-19 New York Institute Of Technology Apparatus for generating signals representing operator-selected portions of a scene
US4189743A (en) 1976-12-20 1980-02-19 New York Institute Of Technology Apparatus and method for automatic coloration and/or shading of images
US4149185A (en) 1977-03-04 1979-04-10 Ralph Weinger Apparatus and method for animated conversion of black and white video to color
US4235503A (en) 1978-05-08 1980-11-25 Condon Chris J Film projection lens system for 3-D movies
US4183046A (en) 1978-08-17 1980-01-08 Interpretation Systems Incorporated Electronic apparatus for converting digital image or graphics data to color video display formats and method therefor
US4258385A (en) 1979-05-15 1981-03-24 Combined Logic Company Interactive video production system and method
US4334240A (en) 1979-07-03 1982-06-08 Crosfield Electronics Limited Interpolation methods and apparatus
US4329710A (en) 1979-09-04 1982-05-11 Taylor Harold C Color composing video system
US4318121A (en) 1980-05-06 1982-03-02 Jason Taite Interior decor composition and display systems
US4436369A (en) 1981-09-08 1984-03-13 Optimax Iii, Inc. Stereoscopic lens system
US4617592A (en) 1982-03-11 1986-10-14 Crosfield Electronics Limited Video retouching system
US4563703A (en) 1982-03-19 1986-01-07 Quantel Limited Video processing systems
US4549172A (en) 1982-06-21 1985-10-22 Motorola, Inc. Multicolor display from monochrome or multicolor control unit
US4645459A (en) 1982-07-30 1987-02-24 Honeywell Inc. Computer generated synthesized imagery
US4600919B1 (en) 1982-08-03 1992-09-15 New York Inst Techn
US4600919A (en) 1982-08-03 1986-07-15 New York Institute Of Technology Three dimensional animation
SU1192168A1 (en) 1982-11-09 1985-11-15 Vladimir A Gornykh Method and apparatus for generating and reproducing television signal of pseudostereoscopic picture
US4544247A (en) 1982-12-24 1985-10-01 Photron Ltd. Stereoscopic projecting apparatus
US4475104A (en) 1983-01-17 1984-10-02 Lexidata Corporation Three-dimensional display system
US4603952A (en) 1983-04-18 1986-08-05 Sybenga John R Professional stereoscopic projection
US4862256A (en) 1983-05-05 1989-08-29 Colorization Inc. Method of, and apparatus for, coloring a black and white video signal
US5050984A (en) 1983-05-09 1991-09-24 Geshwind David M Method for colorizing footage
US4606625A (en) 1983-05-09 1986-08-19 Geshwind David M Method for colorizing black and white footage
US6590573B1 (en) 1983-05-09 2003-07-08 David Michael Geshwind Interactive computer system for creating three-dimensional image information and for converting two-dimensional image information for three-dimensional display systems
US4755870A (en) 1983-07-11 1988-07-05 Colorization Inc. Coloring a black and white signal using motion detection
US4608596A (en) 1983-09-09 1986-08-26 New York Institute Of Technology System for colorizing video with both pseudo-colors and selected colors
JPS6052190U (en) 1983-09-20 1985-04-12 犬飼 修 Saddle cover with unevenness
US4700181A (en) 1983-09-30 1987-10-13 Computer Graphics Laboratories, Inc. Graphics display system
US4558359A (en) 1983-11-01 1985-12-10 The United States Of America As Represented By The Secretary Of The Air Force Anaglyphic stereoscopic image apparatus and method
US4647965A (en) 1983-11-02 1987-03-03 Imsand Donald J Picture processing system for three dimensional movies and video systems
US4723159A (en) 1983-11-02 1988-02-02 Imsand Donald J Three dimensional television and video systems
US4590511A (en) 1984-01-03 1986-05-20 Honeywell Inc. Circuit for converting the phase encoded hue information of a quadrature modulated color subcarrier into distinct analog voltage levels
US4774583A (en) 1984-03-07 1988-09-27 Quantel Limited Video signal processing systems
US4694329A (en) 1984-04-09 1987-09-15 Corporate Communications Consultants, Inc. Color correction system and method with scene-change detection
US4721951A (en) 1984-04-27 1988-01-26 Ampex Corporation Method and apparatus for color selection and production
US4697178A (en) 1984-06-29 1987-09-29 Megatek Corporation Computer graphics system for real-time calculation and display of the perspective view of three-dimensional scenes
US4794382A (en) 1984-09-03 1988-12-27 Crosfield Electronics Limited Image retouching
US4642676A (en) 1984-09-10 1987-02-10 Color Systems Technology, Inc. Priority masking techniques for video special effects
US4760390A (en) 1985-02-25 1988-07-26 Computer Graphics Laboratories, Inc. Graphics display system and method with enhanced instruction data and processing
US4965844A (en) 1985-04-03 1990-10-23 Sony Corporation Method and system for image transformation
US4827255A (en) 1985-05-31 1989-05-02 Ascii Corporation Display control system which produces varying patterns to reduce flickering
US4847689A (en) 1986-03-17 1989-07-11 Dainippon Screen Mfg. Co., Ltd. Method of and apparatus for tint generation and color separation over closed regioons of an image including generation of run-length color data
US4888713A (en) 1986-09-05 1989-12-19 Cdi Technologies, Inc. Surface detail mapping system
US4888713B1 (en) 1986-09-05 1993-10-12 Cdi Technologies, Inc. Surface detail mapping system
US4758908A (en) 1986-09-12 1988-07-19 Fred James Method and apparatus for substituting a higher quality audio soundtrack for a lesser quality audio soundtrack during reproduction of the lesser quality audio soundtrack and a corresponding visual picture
US4809065A (en) 1986-12-01 1989-02-28 Kabushiki Kaisha Toshiba Interactive system and related method for displaying data to produce a three-dimensional image of an object
US4925294A (en) 1986-12-17 1990-05-15 Geshwind David M Method to convert two dimensional motion pictures for three-dimensional systems
US4725879A (en) 1987-03-27 1988-02-16 Honeywell Inc. Chroma responsive inspection apparatus selectively producing analog voltage levels based on the luminance, the phase of the chrominance subcarrier, or the amplitude of the chrominance subcarrier
US6025882A (en) 1987-07-27 2000-02-15 Geshwind; David Michael Methods and devices for incorporating additional information such as HDTV side strips into the blanking intervals of a previous frame
US4984072A (en) 1987-08-03 1991-01-08 American Film Technologies, Inc. System and method for color image enhancement
US5093717A (en) 1987-08-03 1992-03-03 American Film Technologies, Inc. System and method for digitally coloring images
US4903131A (en) 1987-10-30 1990-02-20 Bts Broadcast Television Systems Gmbh Method for the automatic correction of errors in image registration during film scanning
US4918624A (en) 1988-02-05 1990-04-17 The United States Of America As Represented By The United States Department Of Energy Vector generator scan converter
US4933670A (en) 1988-07-21 1990-06-12 Picker International, Inc. Multi-axis trackball
US4952051A (en) 1988-09-27 1990-08-28 Lovell Douglas C Method and apparatus for producing animated drawings and in-between drawings
US5177474A (en) 1989-09-13 1993-01-05 Matsushita Electric Industrial Co., Ltd. Three-dimensional display apparatus
US5237647A (en) 1989-09-15 1993-08-17 Massachusetts Institute Of Technology Computer aided drawing in three dimensions
US5038161A (en) 1990-01-08 1991-08-06 Ki Lui S Method and a camera for combination pictures in a photograph
US5341462A (en) 1990-01-11 1994-08-23 Daikin Industries, Ltd. Figure drawing method and apparatus for drawings accentuated lines
US5428721A (en) 1990-02-07 1995-06-27 Kabushiki Kaisha Toshiba Data processing apparatus for editing image by using image conversion
US5002387A (en) 1990-03-23 1991-03-26 Imax Systems Corporation Projection synchronization system
US5252953A (en) 1990-05-22 1993-10-12 American Film Technologies, Inc. Computergraphic animation system
US5181181A (en) 1990-09-27 1993-01-19 Triton Technologies, Inc. Computer apparatus input device for three-dimensional information
US5481321A (en) 1991-01-29 1996-01-02 Stereographics Corp. Stereoscopic motion picture projection system
US5185852A (en) 1991-05-31 1993-02-09 Digital Equipment Corporation Antialiasing apparatus and method for computer printers
US5347620A (en) 1991-09-05 1994-09-13 Zimmer Mark A System and method for digital rendering of images and printed articulation
US5982350A (en) 1991-10-07 1999-11-09 Eastman Kodak Company Compositer interface for arranging the components of special effects for a motion picture production
US7006881B1 (en) 1991-12-23 2006-02-28 Steven Hoffberg Media recording device with remote graphic user interface
US5262856A (en) 1992-06-04 1993-11-16 Massachusetts Institute Of Technology Video image compositing techniques
US5328073A (en) 1992-06-24 1994-07-12 Eastman Kodak Company Film registration and ironing gate assembly
US5973700A (en) 1992-09-16 1999-10-26 Eastman Kodak Company Method and apparatus for optimizing the resolution of images which have an apparent depth
US5534915A (en) 1992-09-30 1996-07-09 American Film Technologies, Inc. Method of color enhancing a monochrome image using multiple base colors for selected regions of the monochrome image
US6011581A (en) 1992-11-16 2000-01-04 Reveo, Inc. Intelligent method and system for producing and displaying stereoscopically-multiplexed images of three-dimensional objects for use in realistic stereoscopic viewing thereof in interactive virtual reality display environments
US5402191A (en) 1992-12-09 1995-03-28 Imax Corporation Method and apparatus for presenting stereoscopic images
US5495576A (en) 1993-01-11 1996-02-27 Ritchey; Kurtis J. Panoramic image based virtual reality/telepresence audio-visual system and method
US5528655A (en) 1993-03-05 1996-06-18 Hitachi, Ltd. Method and apparatus for producing radiologic three-dimensional image
US5717454A (en) 1993-07-14 1998-02-10 Lifetouch Portrait Studios, Inc. Method and apparatus for creating posing masks on video screen
US5739844A (en) 1994-02-04 1998-04-14 Sanyo Electric Co. Ltd. Method of converting two-dimensional image into three-dimensional image
US6023276A (en) 1994-06-24 2000-02-08 Canon Kabushiki Kaisha Image processing apparatus and method for forming a three-dimensional display
US5825997A (en) 1994-12-28 1998-10-20 Sanyo Electric Co., Ltd. Apparatus for producing a three dimensional image from a two dimensional image
US5784176A (en) 1995-01-17 1998-07-21 Fuji Photo Film Co., Ltd. Method of image noise reduction processing
US6337709B1 (en) 1995-02-13 2002-01-08 Hitachi, Ltd. Image display device
US5699444A (en) 1995-03-31 1997-12-16 Synthonics Incorporated Methods and apparatus for using image data to determine camera location and orientation
US5899861A (en) 1995-03-31 1999-05-04 Siemens Medical Systems, Inc. 3-dimensional volume by aggregating ultrasound fields of view
US5729471A (en) 1995-03-31 1998-03-17 The Regents Of The University Of California Machine dynamic selection of one video camera/image of a scene from multiple video cameras/images of the scene in accordance with a particular perspective on the scene, an object in the scene, or an event in the scene
US5742291A (en) 1995-05-09 1998-04-21 Synthonics Incorporated Method and apparatus for creation of three-dimensional wire frames
US5907364A (en) 1995-05-29 1999-05-25 Hitachi, Ltd. Display device for information signals
US5684715A (en) 1995-06-07 1997-11-04 Canon Information Systems, Inc. Interactive video system with dynamic video object descriptors
US6118584A (en) 1995-07-05 2000-09-12 U.S. Philips Corporation Autostereoscopic display apparatus
US5999660A (en) 1995-07-26 1999-12-07 California Institute Of Technology Imaging system for correction of perceptual distortion in wide angle images
US5940528A (en) 1995-07-28 1999-08-17 Ushiodenki Kabushiki Kaisha Process for positioning of a mask relative to another mask, or masks relative to a workpiece and device for executing the process
US6005582A (en) 1995-08-04 1999-12-21 Microsoft Corporation Method and system for texture mapping images with anisotropic filtering
US6049628A (en) 1995-09-01 2000-04-11 Cerulean Colorization Llc Polygon reshaping in picture colorization
US6263101B1 (en) 1995-09-01 2001-07-17 Cerulean Colorization Llc Filtering in picture colorization
US5784175A (en) 1995-10-05 1998-07-21 Microsoft Corporation Pixel block correlation process
US6211941B1 (en) 1995-10-10 2001-04-03 Jonathan Erland Matte process for composite photography
US5912994A (en) 1995-10-27 1999-06-15 Cerulean Colorization Llc Methods for defining mask of substantially color-homogeneous regions of digitized picture stock
US5929859A (en) 1995-12-19 1999-07-27 U.S. Philips Corporation Parallactic depth-dependent pixel shifts
US6088006A (en) 1995-12-20 2000-07-11 Olympus Optical Co., Ltd. Stereoscopic image generating system for substantially matching visual range with vergence distance
US5748199A (en) 1995-12-20 1998-05-05 Synthonics Incorporated Method and apparatus for converting a two dimensional motion picture into a three dimensional motion picture
US5835163A (en) 1995-12-21 1998-11-10 Siemens Corporate Research, Inc. Apparatus for detecting a cut in a video
US6477267B1 (en) 1995-12-22 2002-11-05 Dynamic Digital Depth Research Pty Ltd. Image conversion and encoding techniques
EP1187494B1 (en) 1995-12-22 2004-04-14 Dynamic Digital Depth Research Pty. Ltd. Image conversion and encoding techniques
WO1997024000A1 (en) 1995-12-22 1997-07-03 Xenotech Research Pty. Ltd. Image conversion and encoding techniques
US5973831A (en) 1996-01-22 1999-10-26 Kleinberger; Paul Systems for three-dimensional viewing using light polarizing layers
US5841512A (en) 1996-02-27 1998-11-24 Goodhill; Dean Kenneth Methods of previewing and editing motion pictures
US6222948B1 (en) 1996-02-29 2001-04-24 Acuson Corporation Multiple ultrasound image registration system, method and transducer
US6014473A (en) 1996-02-29 2000-01-11 Acuson Corporation Multiple ultrasound image registration system, method and transducer
US6360027B1 (en) 1996-02-29 2002-03-19 Acuson Corporation Multiple ultrasound image registration system, method and transducer
US6201900B1 (en) 1996-02-29 2001-03-13 Acuson Corporation Multiple ultrasound image registration system, method and transducer
US6132376A (en) 1996-02-29 2000-10-17 Acuson Corporation Multiple ultrasonic image registration system, method and transducer
US6102865A (en) 1996-02-29 2000-08-15 Acuson Corporation Multiple ultrasound image registration system, method and transducer
US5880788A (en) 1996-03-25 1999-03-09 Interval Research Corporation Automated synchronization of video image sequences to new soundtracks
US5867169A (en) 1996-04-17 1999-02-02 Pixar Method and apparatus for manipulating color values in a computer graphics system
US6184937B1 (en) 1996-04-29 2001-02-06 Princeton Video Image, Inc. Audio enhanced electronic insertion of indicia into video
US6173328B1 (en) 1996-05-28 2001-01-09 Hitachi, Ltd. System for transferring multimedia information
US5767923A (en) 1996-06-07 1998-06-16 Electronic Data Systems Corporation Method and system for detecting cuts in a video signal
US5778108A (en) 1996-06-07 1998-07-07 Electronic Data Systems Corporation Method and system for detecting transitional markers such as uniform fields in a video signal
US5920360A (en) 1996-06-07 1999-07-06 Electronic Data Systems Corporation Method and system for detecting fade transitions in a video signal
US5959697A (en) 1996-06-07 1999-09-28 Electronic Data Systems Corporation Method and system for detecting dissolve transitions in a video signal
US6198484B1 (en) 1996-06-27 2001-03-06 Kabushiki Kaisha Toshiba Stereoscopic display system
US6650339B1 (en) 1996-08-02 2003-11-18 Autodesk, Inc. Three dimensional modeling and animation system
US6108005A (en) 1996-08-30 2000-08-22 Space Corporation Method for producing a synthesized stereoscopic image
US6445816B1 (en) 1996-09-12 2002-09-03 Autodesk Canada Inc. Compositing video image data
US6091421A (en) 1996-12-19 2000-07-18 U.S. Philips Corporation Displaying autostereograms of various depths until proper 3D perception is achieved
US5990903A (en) 1997-02-03 1999-11-23 Micron Technologies, Inc. Method and apparatus for performing chroma key, transparency and fog operations
US6727938B1 (en) 1997-04-14 2004-04-27 Robert Bosch Gmbh Security system with maskable motion detection and camera with an adjustable field of view
US6067125A (en) 1997-05-15 2000-05-23 Minerva Systems Structure and method for film grain noise reduction
US6492986B1 (en) 1997-06-02 2002-12-10 The Trustees Of The University Of Pennsylvania Method for human face shape and motion estimation based on integrating optical flow and deformable models
US6141433A (en) 1997-06-19 2000-10-31 Ncr Corporation System and method for segmenting image regions from a scene likely to represent particular objects in the scene
US6215516B1 (en) 1997-07-07 2001-04-10 Reveo, Inc. Method and apparatus for monoscopic to stereoscopic image conversion
US6031564A (en) 1997-07-07 2000-02-29 Reveo, Inc. Method and apparatus for monoscopic to stereoscopic image conversion
WO1999012127A1 (en) 1997-09-02 1999-03-11 Dynamic Digital Depth Research Pty Ltd Image processing method and apparatus
US6496598B1 (en) 1997-09-02 2002-12-17 Dynamic Digital Depth Research Pty. Ltd. Image processing method and apparatus
US20020075384A1 (en) 1997-11-21 2002-06-20 Dynamic Digital Depth Research Pty. Ltd. Eye tracking apparatus
US6166744A (en) 1997-11-26 2000-12-26 Pathfinder Systems, Inc. System for combining virtual images with real-world scenes
US6119123A (en) 1997-12-02 2000-09-12 U.S. Philips Corporation Apparatus and method for optimizing keyframe and blob retrieval and storage
WO1999030280A1 (en) 1997-12-05 1999-06-17 Dynamic Digital Depth Research Pty. Ltd. Improved image conversion and encoding techniques
US7894633B1 (en) 1997-12-05 2011-02-22 Dynamic Digital Depth Research Pty Ltd Image conversion and encoding techniques
US6314211B1 (en) 1997-12-30 2001-11-06 Samsung Electronics Co., Ltd. Apparatus and method for converting two-dimensional image sequence into three-dimensional image using conversion of motion disparity into horizontal disparity and post-processing method during generation of three-dimensional image
US6973434B2 (en) 1998-01-09 2005-12-06 Millermed Software, Inc. Computer-based system for automating administrative procedures in an office
US6226015B1 (en) 1998-02-25 2001-05-01 Intel Corporation Method of automatically producing sketches and cartoon images from movies
US6847737B1 (en) 1998-03-13 2005-01-25 University Of Houston System Methods for performing DAF data filtering and padding
US7272265B2 (en) 1998-03-13 2007-09-18 The University Of Houston System Methods for performing DAF data filtering and padding
US6271859B1 (en) 1998-04-06 2001-08-07 Adobe Systems Incorporated Recoloring art work
US6677944B1 (en) 1998-04-14 2004-01-13 Shima Seiki Manufacturing Limited Three-dimensional image generating apparatus that creates a three-dimensional model from a two-dimensional image by image processing
US6363170B1 (en) 1998-04-30 2002-03-26 Wisconsin Alumni Research Foundation Photorealistic scene reconstruction by voxel coloring
US20030018608A1 (en) 1998-05-14 2003-01-23 Purdue Research Foundation, Inc. Method and system for secure computational outsourcing and disguise
US7116323B2 (en) 1998-05-27 2006-10-03 In-Three, Inc. Method of hidden surface reconstruction for creating accurate three-dimensional images converted from two-dimensional images
US7102633B2 (en) 1998-05-27 2006-09-05 In-Three, Inc. Method for conforming objects to a common depth perspective for converting two-dimensional images into three-dimensional images
US7116324B2 (en) 1998-05-27 2006-10-03 In-Three, Inc. Method for minimizing visual artifacts converting two-dimensional motion pictures into three-dimensional motion pictures
US6208348B1 (en) 1998-05-27 2001-03-27 In-Three, Inc. System and method for dimensionalization processing of images in consideration of a pedetermined image projection format
US6686926B1 (en) 1998-05-27 2004-02-03 In-Three, Inc. Image processing system and method for converting two-dimensional images into three-dimensional images
US20050146521A1 (en) 1998-05-27 2005-07-07 Kaye Michael C. Method for creating and presenting an accurate reproduction of three-dimensional images converted from two-dimensional images
US6515659B1 (en) 1998-05-27 2003-02-04 In-Three, Inc. Method and system for creating realistic smooth three-dimensional depth contours from two-dimensional images
US6228030B1 (en) 1998-06-24 2001-05-08 Ecton, Inc. Method of using ultrasound energy to locate the occurrence of predetermined event in the heart cycle or other physiologic cycle of the body
US6086537A (en) 1998-06-24 2000-07-11 Ecton, Inc. System for reducing speckle in full motion ultrasound image data by filtering across physiologic cycles
US6056691A (en) 1998-06-24 2000-05-02 Ecton, Inc. System for collecting ultrasound imaging data at an adjustable collection image frame rate
US6426750B1 (en) 1998-07-14 2002-07-30 Microsoft Corporation Run-time geomorphs
US6456340B1 (en) 1998-08-12 2002-09-24 Pixonics, Llc Apparatus and method for performing image transforms in a digital display system
US6813602B2 (en) 1998-08-24 2004-11-02 Mindspeed Technologies, Inc. Methods and systems for searching a low complexity random codebook structure
US6466205B2 (en) 1998-11-19 2002-10-15 Push Entertainment, Inc. System and method for creating 3D models from 2D sequential image data
US6535233B1 (en) 1998-11-20 2003-03-18 International Business Machines Corporation Method and apparatus for adjusting the display scale of an image
US6707487B1 (en) 1998-11-20 2004-03-16 In The Play, Inc. Method for representing real-time motion
US6364835B1 (en) 1998-11-20 2002-04-02 Acuson Corporation Medical diagnostic ultrasound imaging methods for extended field of view
US20020063780A1 (en) 1998-11-23 2002-05-30 Harman Philip Victor Teleconferencing system
US6390980B1 (en) 1998-12-07 2002-05-21 Atl Ultrasound, Inc. Spatial compounding with ultrasonic doppler signal information
US6373970B1 (en) 1998-12-29 2002-04-16 General Electric Company Image registration using fourier phase matching
US6606166B1 (en) 1999-04-30 2003-08-12 Adobe Systems Incorporated Pattern dithering
WO2000079781A1 (en) 1999-06-17 2000-12-28 Dynamic Digital Depth Research Pty Ltd. Image enhancement system
WO2001001348A1 (en) 1999-06-25 2001-01-04 Dynamic Digital Depth Research Pty Ltd. Image conversion and encoding techniques
US6744461B1 (en) 1999-08-31 2004-06-01 Matsushita Electric Industrial Co., Ltd. Monitor camera system and method of displaying picture from monitor camera thereof
US6662357B1 (en) 1999-08-31 2003-12-09 Accenture Llp Managing information in an integrated development architecture framework
US6798406B1 (en) 1999-09-15 2004-09-28 Sharp Kabushiki Kaisha Stereo images with comfortable perceived depth
US6964009B2 (en) 1999-10-21 2005-11-08 Automated Media Processing Solutions, Inc. Automated media delivery system
US20010025267A1 (en) 2000-01-14 2001-09-27 Stephen Janiszewski System and method for facilitating bidding transactions and conducting project management utilizing software metric collection
US20030069777A1 (en) 2000-01-31 2003-04-10 Zvi Or-Bach Integrated system for providing remote outsourcing of services
US7680653B2 (en) 2000-02-11 2010-03-16 Comsat Corporation Background noise reduction in sinusoidal based speech coding systems
US6737957B1 (en) 2000-02-16 2004-05-18 Verance Corporation Remote control signaling using audio watermarks
US6509926B1 (en) 2000-02-17 2003-01-21 Sensormatic Electronics Corporation Surveillance apparatus for camera surveillance system
US20050207623A1 (en) 2000-03-09 2005-09-22 Microsoft Corporation Rapid computer modeling of faces for animation
US20030093790A1 (en) 2000-03-28 2003-05-15 Logan James D. Audio and video program recording, editing and playback systems using metadata
US20020049778A1 (en) 2000-03-31 2002-04-25 Bell Peter W. System and method of information outsourcing
US7254265B2 (en) 2000-04-01 2007-08-07 Newsight Corporation Methods and systems for 2D/3D image conversion and optimization
US7084868B2 (en) 2000-04-26 2006-08-01 University Of Louisville Research Foundation, Inc. System and method for 3-D digital reconstruction of an oral cavity from a sequence of 2-D images
US6665798B1 (en) 2000-04-27 2003-12-16 International Business Machines Corporation System for assigning data processing activities to users through an interactive display interface dynamically granting access only during activity to normally inaccessible resources needed for activity
US6611268B1 (en) 2000-05-30 2003-08-26 Microsoft Corporation System and process for generating 3D video textures using video-based rendering techniques
US20010051913A1 (en) 2000-06-07 2001-12-13 Avinash Vashistha Method and system for outsourcing information technology projects and services
US6765568B2 (en) 2000-06-12 2004-07-20 Vrex, Inc. Electronic stereoscopic media delivery system
US7624337B2 (en) 2000-07-24 2009-11-24 Vmark, Inc. System and method for indexing, searching, identifying, and editing portions of electronic multimedia files
WO2002013143A1 (en) 2000-08-04 2002-02-14 Dynamic Digital Depth Research Pty Ltd. Image conversion and encoding technique
US20020048395A1 (en) 2000-08-09 2002-04-25 Harman Philip Victor Image conversion and encoding techniques
US7035451B2 (en) 2000-08-09 2006-04-25 Dynamic Digital Depth Research Pty Ltd. Image conversion and encoding techniques
US20030177024A1 (en) 2000-08-18 2003-09-18 Koichi Tsuchida Outsourcing service apparatus concerning electronic drawing data
US6416477B1 (en) 2000-08-22 2002-07-09 Koninklijke Philips Electronics N.V. Ultrasonic diagnostic systems with spatial compounded panoramic imaging
US7000223B1 (en) 2000-09-08 2006-02-14 Corel Corporation Method and apparatus for preparing a definition to control automated data processing
US6686591B2 (en) 2000-09-18 2004-02-03 Holon Co., Ltd Apparatus for inspecting mask
JP2002123842A (en) 2000-10-13 2002-04-26 Takumi:Kk Device for generating stereoscopic image, and medium for recording information
US7260274B2 (en) 2000-12-01 2007-08-21 Imax Corporation Techniques and systems for developing high-resolution imagery
US7117231B2 (en) 2000-12-07 2006-10-03 International Business Machines Corporation Method and system for the automatic generation of multi-lingual synchronized sub-titles for audiovisual data
US7461002B2 (en) 2001-04-13 2008-12-02 Dolby Laboratories Licensing Corporation Method for time aligning audio signals using characterizations based on auditory events
US7333670B2 (en) 2001-05-04 2008-02-19 Legend Films, Inc. Image sequence enhancement system and method
US8401336B2 (en) * 2001-05-04 2013-03-19 Legend3D, Inc. System and method for rapid image sequence depth enhancement with augmented computer-generated elements
US7181081B2 (en) 2001-05-04 2007-02-20 Legend Films Inc. Image sequence enhancement system and method
US7577312B2 (en) 2001-05-04 2009-08-18 Legend Films Inc. Image sequence enhancement system and method
US6965379B2 (en) 2001-05-08 2005-11-15 Koninklijke Philips Electronics N.V. N-view synthesis from monocular video of certain broadcast and stored mass media content
JP2003046982A (en) 2001-07-30 2003-02-14 Wowow Inc System for participating in cheer in tv broadcast
US7355607B2 (en) 2001-08-14 2008-04-08 Pulse Entertainment, Inc. Automatic 3D modeling system and method
US7123263B2 (en) 2001-08-14 2006-10-17 Pulse Entertainment, Inc. Automatic 3D modeling system and method
US7343082B2 (en) 2001-09-12 2008-03-11 Ryshco Media Inc. Universal guide track
US20030097423A1 (en) 2001-10-26 2003-05-22 Yuka Ozawa Preview system for data broadcast contents
US20050188297A1 (en) 2001-11-01 2005-08-25 Automatic E-Learning, Llc Multi-audio add/drop deterministic animation synchronization
US6859523B1 (en) 2001-11-14 2005-02-22 Qgenisys, Inc. Universal task management system, method and product for automatically managing remote workers, including assessing the work product and workers
US7538768B2 (en) 2001-12-20 2009-05-26 Olympus Corporation Image display device utilizing 3D protecting process by detecting a parallax value
US7032177B2 (en) 2001-12-27 2006-04-18 Digeo, Inc. Method and system for distributing personalized editions of media programs using bookmarks
US20030154299A1 (en) 2002-02-08 2003-08-14 Chris Hamilton Method of home media server control
US7333519B2 (en) 2002-04-23 2008-02-19 Gateway Inc. Method of manually fine tuning audio synchronization of a home network
US6791542B2 (en) 2002-06-17 2004-09-14 Mitsubishi Electric Research Laboratories, Inc. Modeling 3D objects with opacity hulls
US8244104B2 (en) 2002-06-25 2012-08-14 Sony Corporation System for creating content using content project data
US20040004616A1 (en) 2002-07-03 2004-01-08 Minehiro Konya Mobile equipment with three dimensional display function
US7308139B2 (en) 2002-07-12 2007-12-11 Chroma Energy, Inc. Method, system, and apparatus for color representation of seismic data and associated measurements
US7519990B1 (en) 2002-07-19 2009-04-14 Fortinet, Inc. Managing network traffic flow
US7027054B1 (en) 2002-08-14 2006-04-11 Avaworks, Incorporated Do-it-yourself photo realistic talking head creation system and method
US7558420B2 (en) 2002-08-20 2009-07-07 Kazunari Era Method and apparatus for generating a stereographic image
US20030046656A1 (en) 2002-08-29 2003-03-06 Asha Saxena Information technology outsourcing hubs
US20040062439A1 (en) 2002-09-27 2004-04-01 Eastman Kodak Company Method and system for generating a foreground mask for a composite image
US20040258089A1 (en) 2002-11-18 2004-12-23 Jacob Derechin System and method for reducing bandwidth requirements for remote applications by utilizing client processing power
JP2004207985A (en) 2002-12-25 2004-07-22 Fuji Photo Film Co Ltd Digital camera
US20040189796A1 (en) 2003-03-28 2004-09-30 Flatdis Co., Ltd. Apparatus and method for converting two-dimensional image to three-dimensional stereoscopic image in real time using motion parallax
US7576332B2 (en) 2003-08-01 2009-08-18 St. George's Healthcare Nhs Trust Imaging system
US7136075B1 (en) 2003-08-26 2006-11-14 Adobe Systems Incorporated Compositing in the presence of different transparencies
US7532225B2 (en) 2003-09-18 2009-05-12 Kabushiki Kaisha Toshiba Three-dimensional image display device
US8090402B1 (en) * 2003-09-26 2012-01-03 Iwao Fujisaki Communication device
US20050083421A1 (en) 2003-10-16 2005-04-21 Vladimir Berezin Dynamic range enlargement in CMOS image sensors
US20050088515A1 (en) 2003-10-23 2005-04-28 Geng Z. J. Camera ring for three-dimensional (3D) surface imaging
US8085339B2 (en) 2004-01-16 2011-12-27 Sony Computer Entertainment Inc. Method and apparatus for optimizing capture device settings through depth information
US7663689B2 (en) 2004-01-16 2010-02-16 Sony Computer Entertainment Inc. Method and apparatus for optimizing capture device settings through depth information
US8036451B2 (en) 2004-02-17 2011-10-11 Koninklijke Philips Electronics N.V. Creating a depth map
EP1719079B1 (en) 2004-02-17 2008-01-02 Koninklijke Philips Electronics N.V. Creating a depth map
US8634072B2 (en) 2004-03-06 2014-01-21 Michael Trainer Methods and apparatus for determining characteristics of particles
US8543573B2 (en) 2004-03-18 2013-09-24 Accuracy & Aesthetics Context driven topologies
US20050231501A1 (en) 2004-04-19 2005-10-20 Oki Electric Industry Co., Ltd. Power-down circuit for a display device
US20060143059A1 (en) 2004-04-26 2006-06-29 Barry Sandrew System and method for minimizing transfer of motion picture data manipulated with outsourced labor
US20120032948A1 (en) 2004-09-23 2012-02-09 Conversion Works, Inc. System and method for processing video images for camera recreation
US20110169914A1 (en) 2004-09-23 2011-07-14 Conversion Works, Inc. System and method for processing video images
US8217931B2 (en) 2004-09-23 2012-07-10 Conversion Works, Inc. System and method for processing video images
US20080259073A1 (en) 2004-09-23 2008-10-23 Conversion Works, Inc. System and method for processing video images
US20090256903A1 (en) 2004-09-23 2009-10-15 Conversion Works, Inc. System and method for processing video images
US20060061583A1 (en) 2004-09-23 2006-03-23 Conversion Works, Inc. System and method for processing video images
US20080246836A1 (en) 2004-09-23 2008-10-09 Conversion Works, Inc. System and method for processing video images for camera recreation
US20110169827A1 (en) 2004-09-23 2011-07-14 Conversion Works, Inc. System and method for processing video images
US7542034B2 (en) 2004-09-23 2009-06-02 Conversion Works, Inc. System and method for processing video images
US20060083421A1 (en) 2004-10-14 2006-04-20 Wu Weiguo Image processing apparatus and method
US20070296721A1 (en) 2004-11-08 2007-12-27 Electronics And Telecommunications Research Institute Apparatus and Method for Producting Multi-View Contents
US7610155B2 (en) 2004-12-28 2009-10-27 Weyerhaeuser Nr Company Methods for processing spectral data for enhanced embryo classification
US20060159345A1 (en) 2005-01-14 2006-07-20 Advanced Digital Systems, Inc. System and method for associating handwritten information with one or more objects
WO2006078237A1 (en) 2005-01-15 2006-07-27 In-Three, Inc. Method for converting two-dimensional images to three-dimensional images using depth perspective
US20080117233A1 (en) 2005-01-26 2008-05-22 Jonathan Mather Multiple-Viewer Multiple-View Display And Display Controller
US20080246759A1 (en) 2005-02-23 2008-10-09 Craig Summers Automatic Scene Modeling for the 3D Camera and 3D Video
US7512262B2 (en) 2005-02-25 2009-03-31 Microsoft Corporation Stereo-based image processing
US20060274905A1 (en) 2005-06-03 2006-12-07 Apple Computer, Inc. Techniques for presenting sound effects on a portable media player
US7079075B1 (en) 2005-06-07 2006-07-18 Trimble Navigation Limited GPS rover station for synthesizing synthetic reference phases for controlling accuracy of high integrity positions
US7772532B2 (en) 2005-07-01 2010-08-10 Richard Ian Olsen Camera and method having optics and photo detectors which are adjustable with respect to each other
US7860342B2 (en) * 2005-07-01 2010-12-28 The Invention Science Fund I, Llc Modifying restricted images
US8384763B2 (en) 2005-07-26 2013-02-26 Her Majesty the Queen in right of Canada as represented by the Minster of Industry, Through the Communications Research Centre Canada Generating a depth map from a two-dimensional source image for stereoscopic and multiview imaging
US20070052807A1 (en) 2005-09-07 2007-03-08 Fuji Xerox Co., Ltd. System and method for user monitoring interface of 3-D video streams from multiple cameras
US7298094B2 (en) 2005-12-28 2007-11-20 Canon Kabushiki Kaisha Image display apparatus
US20070238981A1 (en) 2006-03-13 2007-10-11 Bracco Imaging Spa Methods and apparatuses for recording and reviewing surgical navigation processes
US20070236514A1 (en) 2006-03-29 2007-10-11 Bracco Imaging Spa Methods and Apparatuses for Stereoscopic Image Guided Surgical Navigation
US20070260634A1 (en) 2006-05-04 2007-11-08 Nokia Corporation Apparatus, system, method, and computer program product for synchronizing the presentation of media content
US20070286486A1 (en) 2006-05-30 2007-12-13 Goldstein Ira P System and method for automated reading of handwriting
US7573489B2 (en) 2006-06-01 2009-08-11 Industrial Light & Magic Infilling for 2D to 3D image conversion
US7573475B2 (en) 2006-06-01 2009-08-11 Industrial Light & Magic 2D to 3D image conversion
US20090116732A1 (en) 2006-06-23 2009-05-07 Samuel Zhou Methods and systems for converting 2d motion pictures for stereoscopic 3d exhibition
WO2007148219A2 (en) 2006-06-23 2007-12-27 Imax Corporation Methods and systems for converting 2d motion pictures for stereoscopic 3d exhibition
US20080002878A1 (en) 2006-06-28 2008-01-03 Somasundaram Meiyappan Method For Fast Stereo Matching Of Images
US20080044155A1 (en) 2006-08-17 2008-02-21 David Kuspa Techniques for positioning audio and video clips
US20080079851A1 (en) 2006-09-29 2008-04-03 Stanger Leon J Audio video timing measurement and synchronization
US20100026784A1 (en) 2006-12-19 2010-02-04 Koninklijke Philips Electronics N.V. Method and system to convert 2d video into 3d video
US20080147917A1 (en) 2006-12-19 2008-06-19 Lees Jeremy J Method and apparatus for maintaining synchronization of audio in a computing system
WO2008075276A1 (en) 2006-12-19 2008-06-26 Koninklijke Philips Electronics N.V. Method and system to convert 2d video into 3d video
US20080162577A1 (en) 2006-12-27 2008-07-03 Takashi Fukuda Automatic method to synchronize the time-line of video with audio feature quantity
US20090303204A1 (en) 2007-01-05 2009-12-10 Invensense Inc. Controlling and accessing content using motion processing on mobile devices
US8526704B2 (en) 2007-01-11 2013-09-03 Intellectual Property Mvm B.V. Measurement of functional microcirculatory geometry and velocity distributions using automated image analysis
US8462988B2 (en) 2007-01-23 2013-06-11 Valeo Schalter Und Sensoren Gmbh Method and system for universal lane boundary detection
US20080181486A1 (en) 2007-01-26 2008-07-31 Conversion Works, Inc. Methodology for 3d scene reconstruction from 2d image sequences
US20110227917A1 (en) 2007-03-12 2011-09-22 Conversion Works, Inc. System and method for using off-screen mask space to provide enhanced viewing
US20080225045A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. Systems and methods for 2-d to 3-d image conversion using mask to model, or model to mask, conversion
US20080225040A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. System and method of treating semi-transparent features in the conversion of two-dimensional images to three-dimensional images
US20080226123A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. Systems and methods for filling occluded information for 2-d to 3-d conversion
US20080225059A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. System and method for using off-screen mask space to provide enhanced viewing
US20080228449A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. Systems and methods for 2-d to 3-d conversion using depth access segments to define an object
US20080226160A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. Systems and methods for filling light in frames during 2-d to 3-d image conversion
US20080225042A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. Systems and methods for allowing a user to dynamically manipulate stereoscopic parameters
US20080226194A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. Systems and methods for treating occlusions in 2-d to 3-d image conversion
US20080226181A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. Systems and methods for depth peeling using stereoscopic variables during the rendering of 2-d to 3-d images
US20080226128A1 (en) 2007-03-12 2008-09-18 Conversion Works, Inc. System and method for using feature tracking techniques for the generation of masks in the conversion of two-dimensional images to three-dimensional images
US20080227075A1 (en) 2007-03-15 2008-09-18 Ctb/Mcgraw-Hill, Llc Method and system for redundant data capture from scanned documents
US8213711B2 (en) 2007-04-03 2012-07-03 Her Majesty The Queen In Right Of Canada As Represented By The Minister Of Industry, Through The Communications Research Centre Canada Method and graphical user interface for modifying depth maps
US8488868B2 (en) 2007-04-03 2013-07-16 Her Majesty The Queen In Right Of Canada, As Represented By The Minister Of Industry, Through The Communications Research Centre Canada Generation of a depth map from a monoscopic color image for rendering stereoscopic still and video images
US20090002368A1 (en) 2007-06-26 2009-01-01 Nokia Corporation Method, apparatus and a computer program product for utilizing a graphical processing unit to provide depth information for autostereoscopic display
US20090033741A1 (en) 2007-07-30 2009-02-05 Eun-Soo Kim 2d-3d convertible display device and method having a background of full-parallax integral images
US7630533B2 (en) 2007-09-20 2009-12-08 Hologic, Inc. Breast tomosynthesis with display of highlighted suspected calcifications
US7852461B2 (en) 2007-11-15 2010-12-14 Microsoft International Holdings B.V. Dual mode depth imaging
US20090144772A1 (en) * 2007-11-30 2009-06-04 Google Inc. Video object tag creation and processing
US20090147074A1 (en) * 2007-12-11 2009-06-11 David Getty Methods and Systems for Marking Stereo Pairs of Images
US20090219383A1 (en) 2007-12-21 2009-09-03 Charles Gregory Passmore Image depth augmentation system and method
US20090179895A1 (en) * 2008-01-15 2009-07-16 Google Inc. Three-Dimensional Annotations for Street View Data
US20090290758A1 (en) 2008-05-20 2009-11-26 Victor Ng-Thow-Hing Rectangular Table Detection Using Hybrid RGB and Depth Camera Sensors
US20090297061A1 (en) 2008-05-30 2009-12-03 General Instrument Corporation Replacing image information in a captured image
US20100045666A1 (en) 2008-08-22 2010-02-25 Google Inc. Anchored Navigation In A Three Dimensional Environment On A Mobile Device
US8194102B2 (en) * 2008-10-06 2012-06-05 Microsoft Corporation Rendering annotations for images
US20100166338A1 (en) 2008-12-26 2010-07-01 Samsung Electronics Co., Ltd. Image processing method and apparatus therefor
US8698798B2 (en) * 2009-03-04 2014-04-15 Landmark Graphics Corporation Visualization of images on user-defined folded structures in a three-dimensional subsurface environment
US20100289819A1 (en) * 2009-05-14 2010-11-18 Pure Depth Limited Image manipulation
US20120102435A1 (en) 2009-06-24 2012-04-26 Sang-Choul Han Stereoscopic image reproduction device and method for providing 3d user interface
US8320634B2 (en) 2009-07-11 2012-11-27 Richard Deutsch System and method for monitoring protective garments
US20110050864A1 (en) 2009-09-01 2011-03-03 Prime Focus Vfx Services Ii Inc. System and process for transforming two-dimensional images into three-dimensional images
US8922628B2 (en) 2009-09-01 2014-12-30 Prime Focus Vfx Services Ii Inc. System and process for transforming two-dimensional images into three-dimensional images
WO2011029209A2 (en) 2009-09-10 2011-03-17 Liberovision Ag Method and apparatus for generating and processing depth-enhanced images
US20110072397A1 (en) * 2009-09-22 2011-03-24 Scott Baker Image Data and Annotation Processing System
US20110069152A1 (en) 2009-09-24 2011-03-24 Shenzhen Tcl New Technology Ltd. 2D to 3D video conversion
US20110074784A1 (en) 2009-09-30 2011-03-31 Disney Enterprises, Inc Gradient modeling toolkit for sculpting stereoscopic depth models for converting 2-d images into stereoscopic 3-d images
US20110081042A1 (en) * 2009-10-07 2011-04-07 Samsung Electronics Co., Ltd. Apparatus and method for adjusting depth
US20110096832A1 (en) 2009-10-23 2011-04-28 Qualcomm Incorporated Depth map generation techniques for conversion of 2d video data to 3d video data
US20110109617A1 (en) * 2009-11-12 2011-05-12 Microsoft Corporation Visualizing Depth
US20110273531A1 (en) 2009-12-14 2011-11-10 Atsushi Ito Image processing apparatus, image processing method and program
US20120306874A1 (en) 2009-12-14 2012-12-06 Agency For Science, Technology And Research Method and system for single view image 3 d face synthesis
US20110158504A1 (en) * 2009-12-31 2011-06-30 Disney Enterprises, Inc. Apparatus and method for indicating depth of one or more pixels of a stereoscopic 3-d image comprised from a plurality of 2-d layers
US20110161843A1 (en) * 2009-12-31 2011-06-30 Broadcom Corporation Internet browser and associated content definition supporting mixed two and three dimensional displays
US20110188773A1 (en) 2010-02-04 2011-08-04 Jianing Wei Fast Depth Map Generation for 2D to 3D Conversion
US20130051659A1 (en) 2010-04-28 2013-02-28 Panasonic Corporation Stereoscopic image processing device and stereoscopic image processing method
US20120087570A1 (en) 2010-06-21 2012-04-12 Iist Co., Ltd. Method and apparatus for converting 2D image into 3D image
US20120218382A1 (en) 2010-08-02 2012-08-30 Ron Zass Multiclass clustering with side information from multiple sources and the application of converting 2d video to 3d
WO2012016600A1 (en) 2010-08-06 2012-02-09 Trident Microsystems, Inc. Method for generating of a depth map, method for converting a two-dimensional image sequence and device for generating a stereoscopic image
US20120039525A1 (en) 2010-08-12 2012-02-16 At&T Intellectual Property I, L.P. Apparatus and method for providing three dimensional media content
US20120188334A1 (en) 2010-09-22 2012-07-26 Berfort Management Inc. Generating 3D stereoscopic content from monoscopic video content
US20120274634A1 (en) 2010-11-10 2012-11-01 Hitoshi Yamada Depth information generating device, depth information generating method, and stereo image converter
US20130234934A1 (en) 2010-12-22 2013-09-12 Zspace, Inc. Three-Dimensional Collaboration
US8670651B2 (en) 2011-02-09 2014-03-11 Sony Corporation Editing device, editing method, and program
KR20120095059A (en) 2011-02-18 2012-08-28 (주)스튜디오 로프트 Method of converting 2d images to 3d images
US20120249746A1 (en) 2011-03-28 2012-10-04 Cornog Katherine H Methods for detecting, visualizing, and correcting the perceived depth of a multicamera image sequence
US8907968B2 (en) 2011-03-31 2014-12-09 Panasonic Corporation Image rendering device, image rendering method, and image rendering program for rendering stereoscopic panoramic images
US20120274626A1 (en) 2011-04-29 2012-11-01 Himax Media Solutions, Inc. Stereoscopic Image Generating Apparatus and Method
US20120281906A1 (en) 2011-05-04 2012-11-08 Texas Instruments Incorporated Method, System and Computer Program Product for Converting a 2D Image Into a 3D Image
US20120306849A1 (en) * 2011-05-31 2012-12-06 General Electric Company Method and system for indicating the depth of a 3d cursor in a volume-rendered image
US20130044192A1 (en) 2011-08-17 2013-02-21 Google Inc. Converting 3d video into 2d video based on identification of format type of 3d video and providing either 2d or 3d video based on identification of display device type
US20130063549A1 (en) 2011-09-09 2013-03-14 Lars Schnyder Systems and methods for converting video
KR20130061289A (en) 2011-12-01 2013-06-11 엘지디스플레이 주식회사 Method of multi-view image formation and stereoscopic image display device using the same
WO2013084234A1 (en) 2011-12-05 2013-06-13 Rotary View Ltd. System and method for generating a stereoscopic 3d presentation from picture sequence emanating from single lens source
US20130258062A1 (en) 2012-03-29 2013-10-03 Korea Advanced Institute Of Science And Technology Method and apparatus for generating 3d stereoscopic image
US8644596B1 (en) 2012-06-19 2014-02-04 Google Inc. Conversion of monoscopic visual content using image-depth database
EP3052454A2 (en) 2013-10-04 2016-08-10 Solidia Technologies, Inc. Hollow-core articles and composite materials, methods of production and uses thereof

Non-Patent Citations (72)

* Cited by examiner, † Cited by third party
Title
"Nintendo DSi Uses Camera Face Tracking to Create 3D Mirages", retrieved from www.Gizmodo.com on Mar. 18, 2013, 3 pages.
A. Michael Noll, Computer-Generated Three-Dimensional Movies, Computers and Automation, vol. 14, No. 11 (Nov. 1965), pp. 20-23.
A. Michael Noll, Stereographic Projections by Digital Computer, Computers and Automation, vol. 14, No. 5 (May 1965), pp. 32-34.
Abstract of "A Novel Method for Semi-Automatic 2D to 3D Video Conversion", Wu, et al, IEEE 978-1-4244-1755-1, 2008, 1 Page.
Abstract of "Converting 2D Video to 3D: An Efficient Path to a 3D Experience", Cao, et al, IEEE 1070-986X, 2011, 1 Page.
Abstract of "Efficient and high speed depth-based 2D to 3D video conversion", Somaiya et al., Springer 3DR Express 10, 1007, 2013, pp. 1-9.
Abstract of Learning to Produce 3D Media from a Captured 2D Video, Park et al., Eastman Kodak Research Journal of Latex Class files, vol. 6, Jan. 2007, 4 pages.
Beraldi, et al., "Motion and Depth from Optical Flow", Lab. Di Bioingegneria, Facolta' di Medicina, Universit' di Modena, Modena, Italy; pp. 205-208, 1989.
CA Office Action, Dec. 28, 2011, Appl No. 2,446,150, 4 pages.
Daniel L. Symmes, Three-Dimensional Image, Microsoft Encarta Online Encyclopedia (hard copy printed May 28, 2008 and of record, now indicated by the website indicated on the document to be discontinued: http://encarta.msn.com/text-761584746-0/Three-Dimensional-Image.htm).
Declaration of Barbara Frederiksen in Support of In-Three, Inc's Opposition to Plaintiffs Motion for Preliminary Injunction, Aug. 1, 2005, IMAX Corporation et al v. In-Three, Inc., Case No. CV05 1795 FMC (Mcx). (25 pages).
Declaration of John Marchioro, Exhibit C, 3 pages, Nov. 2, 2007.
Declaration of Michael F. Chou, Exhibit B, 12 pages, Nov. 2, 2007.
Declaration of Steven K. Feiner, Exhibit A, 10 pages, Nov. 2, 2007.
Di Zhong, Shih-Fu Chang, "AMOS: An Active System for MPEG-4 Video Object Segmentation," ICIP (2) 8: 647-651, Apr. 1998.
E. N. Mortensen and W. A. Barrett, "Intelligent Scissors for Image Composition," Computer Graphics (SIGGRAPH '95), pp. 191-198, Los Angeles, CA, Aug. 1995.
Eric N. Mortensen, William A. Barrett, "Interactive segmentation with Intelligent Scissors," Graphical Models and Image Processing, v.60 n. 5, p. 349-384, Sep. 2002.
European Office Action dated Jun. 26, 2013, received for EP Appl. No. 02734203.9 on Jul. 22, 2013, 5 pages.
European Search Report Received in PCTUS2011067024 on Nov. 28, 2014, 6 pages.
Exhibit 1 to Declaration of John Marchioro, Revised translation of portions of Japanese Patent Document No. 60-52190 to Hiromae, 3 pages, Nov. 2, 2007.
First Examination Report for Indian Patent Application No. 01779/DELNP/2003 dated Mar. 2004. (4 pages).
Gao et al., Perceptual Motion Tracking from Image Sequences, IEEE, Jan. 2001, pp. 389-392.
Grossman, "Look Ma, No Glasses", Games, Apr. 1992, pp. 12-14.
Hanrahan et al., "Direct WYSIWYG painting and texturing on 3D shapes", Computer Graphics, vol. 24, Issue 4, pp. 215-223. Aug. 1990.
Harman et al. "Rapid 2D to 3D Conversion", The Reporter, vol. 17, No. 1, Feb. 2002, 12 pages.
Hendriks, et al. "Converting 2D to 3D: A Survey", Information and Communication Theory Group, Dec. 2005.
Hua Zhong, et al., "Interactive Tracker-A Semi-automatic Video Object Tracking and Segmentation System," Microsoft Research China, http://research.microsoft.com (Aug. 26, 2003).
International Preliminary Report on Patentability received in PCT/US2013/072208 on Jun. 11, 2015, 5 pages.
International Preliminary Report on Patentability received in PCT/US2013/072447 on Jun. 11, 2015, 12 pages.
International Search Report and Written Opinion issued for PCT/US2013/072447, dated Mar. 13, 2014, 6 pages.
International Search Report Dated Jun. 13, 2003. (3 pages).
International Search Report dated May 10, 2012, 8 pages.
International Search Report Issued for PCT/US2013/072208, dated Feb. 27, 2014, 6 pages.
International Search Report received fro PCT Application No. PCT/US2011/067024, dated Aug. 22, 2012, 10 pages.
International Search Report, Jun. 13, 2003, PCT/US02/14192, 4 pages.
Interpolation (from Wikipedia encyclopedia, article pp. 1-6), retrieved from Internet URL:http://en.wikipedia.org/wiki/Interpolation on Jun. 5, 2008.
IPER, Mar. 29, 2007, PCT/US2005/014348, 5 pages.
IPER, Oct. 5, 2013, PCT/US2011/058182, 6 pages.
Izquierdo et al., Virtual 3D-View Generation from Stereoscopic Video Data, IEEE, Jan. 1998, pp. 1219-1224.
Joseph Weber, et al., "Rigid Body Segmentation and Shape Description . . . , " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, No. 2, Feb. 1997,pp. 139-143.
Kaufman, D., "The Big Picture", Apr. 1998, http://www.xenotech.com Apr. 1998, pp. 1-4.
Legend Films, "System and Method for Conversion of Sequences of Two-Dimensional Medical Images to Three-Dimensional Images" Sep. 12, 2013, 7 pages.
Lenny Lipton, "Foundations of the Stereo-Scopic Cinema, a Study in Depth" With and Appendix on 3D Television, 325 pages, May 1978.
Machine translation of JP Patent No. 2004-207985, dated Jul. 22, 2008, 34 pages.
Michael Gleicher, "Image Snapping," SIGGRAPH: 183-190, Jun. 1995.
Murray et al., Active Tracking, IEEE International Conference on Intelligent Robots and Systems, Sep. 1993, pp. 1021-1028.
Noll et al., "Stereographic Projections by Digital Computer", Computers and Automation for May 1965, pp. 32-34.
Noll, "Computer-Generated Three-Dimensional Movies" Computers and Automation for Nov. 1965, pp. 20-23.
Office Action for AUS Patent Application No. 2002305387 dated Mar. 9, 2007. (2 pages).
Office Action for Canadian Patent Application No. 2,446,150 dated Jun. 13, 2011. (4 pages).
Office Action for Canadian Patent Application No. 2,446,150 dated Oct. 8, 2010. (6 pages).
Office Action for EPO Patent Application No. 02 734 203.9 dated Oct. 7, 2010. (5 pages).
Office Action for EPO Patent Application No. 02 734 203.9 dated Sep. 12, 2006. (4 pages).
Ohm et al., An Object-Based System for Stereopscopic Viewpoint Synthesis, IEEE transaction on Circuits and Systems for Video Technology, vol. 7, No. 5, Oct. 1997, pp. 801-811.
Optical Reader (from Wikipedia encyclopedia, article p. 1), retrieved from Internet URL:http://en.wikipedia.org/wiki/Optical-reader on Jun. 5, 2008.
Partial Testimony, Expert: Samuel Zhou, Ph.D., 2005 WL 3940225 (C.D.Cal.), Jul. 21, 2005, 21 pages.
PCT IPRP, Jul. 4, 2013, PCT/US2011/067024, 5 pages.
PCT ISR, Feb. 27, 2007, PCT/US2005/014348, 8 pages.
PCT ISR, Nov. 14, 2007, PCT/US07/62515, 24 pages.
PCT ISR, Sep. 11, 2007, PCT/US07/62515, 9 pages.
Selsis et al., Automatic Tracking and 3D Localization of Moving Objects by Active Contour Models, Intelligent Vehicles 95 Symposium, Sep. 1995, pp. 96-100.
Slinker et al., "The Generation and Animation of Random Dot and Random Line Autostereograms", Journal of Imaging Science and Technology, vol. 36, No. 3, pp. 260-267, May 1992.
Smeulders et al., Tracking Nonparameterized Object Contours in Video, IEEE Transactions on Image Processing, vol. 11, No. 9, Sep. 2002, pp. 1081-1091.
Tam et al., "3D-TV Content Generation: 2D-To-3D Conversion", ICME 2006, p. 1868-1872.
U.S. District Court, C.D. California, IMAX Corporation and Three-Dimensional Media Group, Ltd., v. In-Three, Inc., Partial Testimony, Expert: Samuel Zhou, Ph.D., No. CV 05-1795 FMC(Mcx), Jul. 19, 2005, 2005 WL 3940223 (C.D.Cal.), 6 pages.
U.S. District Court, C.D. California, IMAX v. In-Three, No. 05 CV 1795, 2005, Partial Testimony, Expert: David Geshwind, WestLaw 2005, WL 3940224 (C.D.Cal.), 8 pages.
U.S. District Court, C.D. California, IMAX v. In-Three. No. 06 CV 1795. Jul. 21, 2005, Partial Testimony, Expert: Samuel Zhou, Ph.D., 2005 WL 3940225 (C.D.Cal.), 21 pages.
U.S. District Court, C.D. California, Western Division, IMAX Corporation, and Three-Dimensional Media Group, Ltd. v. In-Three, Inc., No. CV05 1795 FMC (Mcx). Jul. 18, 2005. Declaration of Barbara Frederiksen in Support of In-Three, Inc.'s Opposition to Plaintiffs' Motion for Preliminary Injunction, 2005 WL 5434580 (C.D.Cal.), 13 pages.
U.S. Patent and Trademark Office, Before the Board of Patent Appeals and Interferences, Ex Parte Three-Dimensional Media Group, Ltd., Appeal 2009-004087, Reexamination Control No. 90/007,578, U.S. Pat. No. 4,925,294, Decision on Appeal, 88 pages, Jul. 30, 2010.
USPTO, Board of Patent Appeals and Interferences, Decision on Appeal dated Jul. 30, 2010, Ex parte Three-Dimensional Media Group, LTD., Appeal 2009-004087, Reexamination Control No. 90/007,578, U.S. Pat. No. 4,925,294. (88 pages).
Yasushi Mae, et al., "Object Tracking in Cluttered Background Based on Optical Flow and Edges," Proc. 13th Int. Conf. on Pattern Recognition, vol. 1, pp. 196-200, Apr. 1996.
Zhang, et al., "Stereoscopic Image Generation Based on Depth Images for 3D TV", IEEE Transactions on Broadcasting, vol. 51, No. 2, pp. 191-199, Jun. 2005.

Cited By (3)

* Cited by examiner, † Cited by third party
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US20160065949A1 (en) * 2013-04-02 2016-03-03 Dolby Laboratories Licensing Corporation Guided 3D Display Adaptation
US10063845B2 (en) * 2013-04-02 2018-08-28 Dolby Laboratories Licensing Corporation Guided 3D display adaptation
US10289291B2 (en) * 2016-04-05 2019-05-14 Adobe Inc. Editing nested video sequences

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